Latest Projects Based on No Kit

Geological modeling process advanced into many stages like paper recording and charting. In the past, interpretation and analysis of geological data are done with the representation of 2-dimensional models. This procedure was more time consuming and tedious.

The automated highway system (AHS) gives a relationship between vehicles and the highways. AHS refers to a set of lanes on a less used roadway where well-equipped vehicles operate themselves. AHS uses vehicle and highway control technologies that shifts driving functions to the vehicle.

Global warming is leading to a rise in sea surface temperatures which led to an increase in sea levels. Many people live by the sea and are dependent on it for their livelihood.

The seismic vulnerability assessment of existing buildings is necessary earthquake-prone areas. Buildings may subject to greater risk if these assessments not performed at regular intervals.

Solid waste management is one of the major problems in today's modern world. Improper planning and execution are the main causes of this problem. Also, an increase in population and urbanization increasing the solid waste load on disposal areas at a much faster pace.

Nowadays, the rate of increase in road traffic is very high. Especially in developing countries like India facing the problems of traffic due to bad junction design. This junction or intersection is not designed for today’s traffic so the congestion is taking place. This congestion of the traffic at the intersection is very crucial because the traffic performance at the intersection affects the traffic of the whole road map.

Damp is identified as one of the agents which can easily deteriorate a structure and weaken the strength of the building. Hence the life-span of the building is not attained as per the design period. The unwanted moisture that presents in part of the structure is called Damp. The Damp may occur due to seepage of rainwater from the outside environment or due to condensation within the structure.

ANN (artificial neural network) is a huge architecture which has the capability of generalizing and learning from the data which is given in the form of exercises and examples from the humans. This ANN gives us a meaningful solution to problems if the input data isn’t correct or incomplete from the previous examples and experiences. This property makes ANN an outstanding tool for solving complex engineering problems. 

People refer green concrete which is having the coloured pigment. But generally, the concrete which is environmentally friendly is called as green concrete. This concrete will use less energy for its production, and also emits less carbon dioxide than normal concrete. The concrete is mainly comprised of cement. The main component of the manufacturing of the cement is limestone (calcium Carbonate CaCO₃). During the manufacturing of the cement the raw materials are heated about 800 – 1000 degree Celsius. Approximately 1kg of cement releases around 900gs of CO₂ into the air.

There are different methods for the improvement of soil. In the civilization of Mesopotamian lime stone was used as construction material by mixing it with weak soil. Also, in some the ancient civilization people also use materials such as straw, hay etc… these are mixed with the soil with low strength and used as bricks.

This project is idea that is brought by Justin Eric Sutton. The Hydrogen super high way is mainly depended on the hydrogen and water. Hydrogen can be obtained by the basic method which can produce electricity when the sunlight is striking the Electro photo Voltaic panels (EPV).

Water is the main source for the survival of the mankind. Water is used for irrigation, drinking, sanitation etc… we cannot imagine the world without water. Water is used for the drinking purposes is to be treated properly.

One of the major problems that is been faced by the planet earth is insufficient supply of the clean energy. we are simultaneously facing the three challenges – they are resource consumption, environmental degradation, and population growth.

There are many different types of concrete in the world. Each of the them are having added advantages and disadvantages when compared to each other.

For example, if concrete is made from the sulphate-resisting cement then it is good in resisting concrete from sulphate attacks but will not be good in strength as compared normal or traditional concrete.  

Different concretes are been developed in the world for different purposes. Some of them are used under water some of them for rapid hardening, some of them in Ready mix concrete etc… one of them is this reactive concrete. This was first developed by P.Richard and in the early 1990’s. this RPC is prepared by replacing the ordinary concrete with quartz powder, silica fume. It has very high strength and also ductility. The compressive strength may vary from 250-810 Mpa.

Reactive concrete will have very fine powders such as sand, quartz, steel fibres, super plasticizer and cement. The quantities used are generally as follows: OPC – 1000, Water -18, Fine sand – 500, Silica Fume – 230, Quartz powder -390, Super plasticizer – 18, Steel fibers – 630 all the weights are in kg per cubic metre. And this mix give approximate strength of 800Mpa.

Requirements:

Knowledge of concrete technology.

Knowledge of Mix Design.

Cement

Sand

Quartz Powder

Silica Fume

Steel Fibers

Super Plasticizers

Test apparatus for the concrete (concrete lab can be used)

Project Implementation:

1. Make the mix design of required grade (Refer IS 10262)
2. Find the quantities and make the cubes.
3. Test them for the compression, tensile and flexural strength.
4. Make the reactive concrete from the materials above and in different proportions.
5. Make the cubes and test it for all parameters.
6. Report the difference between both the concretes.

Software Requirements:

• If you need to plot the graph for the values you can use software like MS-Excel, Origin Pro etc…

Advantages:

• It makes concrete void proof as we are using fine ingredients.
• Greater resistance for the earth quake loads
• Reduction of the dead load
• Higher shear capacity.
• Higher Ductility

Disadvantages:

• Expensive as we are replacing the aggregates.
• No official code for the design concrete mix.

Conclusion:

This project is still in development stage and do more improvisation by adding or removing the materials used in it. If you want to make something new or learn something new regarding the concrete technology then you can do this project and experience it yourself.

After the invention of the wheel it made the evolution in the transportation. It made the transportation very easy and efficient. There are many evolutions after the invention of the stone wheel.

The ground improvement techniques are generally made at the places where the soil conditions are very ill. These techniques which are used to increase the performance of the soil are called soil stabilization techniques or soil improvement techniques.

Concrete is being used since very old times. It is used since roman age for the development, housing and infrastructure. But the materials used in the concrete is been not changed. Concrete is majorly made of the three components, cement which is a very fine powder and acts as binder, fine aggregate, which comprises of small and fine sand particles, Coarse aggregate, which comprises of large to medium pieces of the stone or gravel.

The population on the earth is growing daily and likewise vehicles are also been increasing daily. The rate increase of the vehicles is been increasing considerably.

Plastic has become a daily need in our life and at present it is posing a greater threat to the environment. Nearly a 200 million tons of plastic is been produced worldwide annually.

Concrete is thee majorly used material in the construction industry and it is also evident that it is one of the materials that are in the part of emitting the CO₂ into the atmosphere.

With time being of the essence in the twenty-first century, we see the rise of a situation wherein people want to stay on top of things but don’t have the time to do so. That is why, in the last couple of years, there has been a phenomenal rise in the number of news aggregators on the web.

Nowadays people pay a lot of attention to how things look, that is why sometimes, websites make use of a URL Shortener, to make their website’s URL more presentable. Now, there are many ways one can achieve this shortening. There are several in-built functions available, and there are even hosted websites that offer you a platform to shorten your URL.

Being an adult is about being able to manage your finances properly. You don’t want a situation wherein you are only half-way into your month and already out of cash. Most of us millennials have a habit of overspending if we have too much money with us. Also, with so much exposure to online media and shopping, it doesn’t surprise me that most people can’t seem to make it to the end of the month without going broke! What if I told you there’s a simple way to put your love for coding to some good use! Use your Python knowledge to create a handy expense tracker to make sure you end the month with enough money in your wallet.

Most of us don't go anywhere without our headphones because we can't imagine a long bus journey or wait without listening to music. Headphone sales and music sales have never been higher before, and this just proves how dependent we are on our music. MP3 players are hence a must-have for almost every millennial now, and hence is a great option for a field to invest time studying. Here’s a look at a simple Python program that will work as an MP3 Player.

Image processing is a growing field with a wide variety of applications. Almost everything we see around us now can and will be automated in the next few years. Such large-scale automation requires the manufacturing and implementation of a large number of sensors and other monitoring equipment. With respect to the fields of automation and robotics, one of the most important sensory equipment required is the visual sensors.

The need for security systems is rising all over the world due to an increase in crimes being committed. As the public gets more and more aware of the dangers around them, they become more willing to spend money on surveillance equipment. Not only does surveillance equipment help you keep track of what’s happening at home while you are away at the office, but it also allows you to gather evidence in case something goes wrong.

Surveillance equipment helps prevent thefts and mishaps around the world on a large scale. Have you ever faced a situation wherein having a camera around would have made things easier? For example, if your car got stolen, and you had a camera in the walkway, you might have gotten a photo of the culprit, helping to solve the case. That is why having a camera around can be quite useful in several cases.

Our world is heavily driven by technology and one of the newest facets of technology which is getting a lot of attention is machine learning. This field of study hopes to transform simple machines into smart machines that can think and analyze problems, much like how we do! In this post, we will be looking at one of the large scale applications of machine learning which is sports analytics. So here’s a look at a Moneyball inspired Sports Analyser project that works on the principles of Machine Learning.

As technology surges ahead, some of the most important developments have been ones that help us save time, because as we know, time is money in the twenty-first century. Handwriting analysis has been trying to make a ripple within the industry for a while now, as they would make it a lot easier for people to upload documents onto the web. Such character recognition works on the principles of artificial intelligence, computer vision, machine learning, and pattern recognition. Computers that can analyse handwriting and recognise or detect characters will be able to convert the paper documents into machine-readable form. Here’s a look at a simple Handwriting reader project using machine learning.

There are few people alive right now who haven’t heard of Netflix and Spotify. Both these global brands have grown exponentially in the past few years, and have now become one of the most widely recognised brands of all time. One of the most significant things both of them have in common, other than being a streaming service, is that they both have amazing recommendation software. Netflix’s recommendation has built a name for itself, giving customers exactly what they want, time and time again. Seeing the popularity that such a system has, other tech giants such as Amazon and Google are also working on their own recommendations application. In this Machine Learning project, we will be taking a look at how to build such an app on our own.

Whenever a crisis occurs, one of the most important tasks that disaster forces have is rescuing trapped humans. This holds true especially in case of natural disasters such as earthquakes and volcano eruptions, and also when it comes to large outbreaks of fire. Ensuring that victims are rescued is a number one priority in such cases, as being exposed to toxic fumes for too long can lead to death. So how do we develop a full-proof method to find victims in such cases? Surely, there are a lot of restrictions for humans when it comes to such adverse situations. Thanks to advancements in science and technology, we can now use autonomous vehicles and robots to go where humans can't and to rescue victims in situations that were previously impossible to us. In this article, we will be taking a look at one such project, where we will attempt to build a rescue robot using the principle of computer vision.

It is safe to say that we are a mobile generation. It is hard to find anyone nowadays who doesn’t have a smartphone. It has become so common that a few years ago, the number of people who access the internet on their phones, eclipsed the number of people who do so on their desktops. That is the pace with which we have imbibed and accepted smartphones. As technology develops, we are getting smarter and more intelligent devices, which seem to know exactly what we want. One such trend that quickly caught on is that of smart gestures that tell the device what to do. In this Image Processing project, we will be taking a look at an application that allows a device to read and understand smart gestures.

People often say that the eyes are the gateway to the soul. Humans have an innate ability to express themselves using just their faces. Whatever the emotion may be, the human face can express the right emotion and get the message across efficiently. That is why body language and facial reading are important skills when it comes to understanding a person. So, what if computers were able to do that as well? What if computers could look at your face and understand exactly how you feel? Well, this is already happening on a small scale, and this project will help you understand how that happens. In this Image Processing project, we will be looking at an application that recognizes emotions using facial recognition and analysis.

Computer vision is one of the leading technologies which is undergoing a lot of revision, and there is a lot of research happening in this field as well. It essentially gives computers, devices and other machines the ability to see and perceive images. From a pure engineering point of view, technology such as

Machine Learning is a technology that gives computers the power to learn from their past mistakes and experiences. This approach is finding large-scale applications in many fields around the world. One of the most significant uses of this technology is in the medical field. Every year, diseases like diabetes and cancer take the lives of millions of people. What if there was some way we could predict the early onset of such diseases? What if there was some way we could understand we have the disease before it was too late? Well, doctors and medical researchers around the world are working together to build a big-data backed machine learning algorithm that will help with disease prediction. In this Machine Learning project, we are going to be looking at something similar- an application that will help us predict the occurrence of a disease based on patient history.

A common problem faced by several newspaper agencies and content creators on the web is that of content forging or image forging. With so much new content hitting the web every single day, how do you make sure an image or news is real and not fake? How do you protect your work from being copied? Well, that’s a common problem for creators now, and something we will try to solve through this project. Here’s an Image Processing project that will help you detect forgery.

This python project is straightforward and simple to make and would consummately function as a scaled-down venture or for self-learning purposes. To begin you just to get familiar with Socket Programming and Some python concept. Here we are going to build a Simple Chat Room Server and enable different individuals to interface and speak with each other. The concept used here is socket programming and threading.

It is puzzling for individuals to perceive each currency from various nations. Furthermore, past perceiving the currency note, we additionally need to perceive the genuine and fake currency notes that are available in the market. To determine this sort of issue we have a Currency Recognition System. It distinguishes the currency notes and the variety among genuine and counterfeit currency notes. Our present framework is taking a shot at image processing, methods that incorporate image filtering, edge identification, segmentation and a database for putting away the qualities of the currency note.

Cartooning a digital image sounds a very interesting, fun and easy project to work on. So as to achieve an animation picture from a digital image, we only need some bilateral filter and edge detection mechanism. These bilateral filters will assist us with reducing the color or shading palette of the image, which is an important step for the animation look, and edge detection are used to get a perfect bold silhouette.

It’s not always easy to pick the right movie to watch. Sometimes you're in the state of mind to see individuals begin to look all starry eyed at, or you need a motion picture to remind your connection with music, or you need to just watch characters to whom you relate or any emotion-based movie. Settling on this decision can't generally be understood by attempting to pick something dependent on genre. This is why we are going to create,  a “Movie recommendation system based on emotion”, which enables us to choose movies based on how you want their viewing experience to make them feel.

Sign languages (also known as signed languages) are languages that utilize the visual-manual methodology to pass on importance. Language is communicated through the manual sign stream in the mix with non-manual components.

The way that the signature is broadly utilized as a method for individual distinguishing proof apparatus for people necessitates. Confirmation of signature can be performed either Offline or Online dependent on the application. Anyway, human signatures can be dealt with an image and perceived utilizing computer vision and neural network methods. Signature verification and recognition is an innovation that can improve security in our everyday exchanges held in the public arena. This system is reasonable for different applications, for example, bank exchanges, travel papers with great confirmation results, and so on.

We will make our very own Image Classifier which can recognize whether a given pic is a cat or dog or something different relying on your sustained info. To accomplish our objective, we will utilize one among the acclaimed AI calculations out there that are utilized for Image Classification, for instance, Convolutional Neural Network (or CNN). 

Many of you might have come across the situation where you want to find a file in a directory and when you open that directory, it is messed up with all kinds of files. It is really difficult to locate the required file. How nice it would be if we can have all the files with the same extension in one directory! The job of finding the file would get simpler and it would look pretty good as well.

This problem is solved by Python. Using Python os and shutil module we can easily sort the files with the same extension and store them in separate folders.

If we want to modify (resize, change file format, etc.) a single image. It is an easy job, just open a favorite image editor and do the modification. But what if you want to modify hundreds and hundreds of such images? It not only becomes time-consuming and boring also.

In today’s age every website or application we encounter, we need to sign-up with our credentials. There is no problem in filling name, email-id, contact number, and other stuff but when it comes to entering a password everyone really stuck and start to think about which password to use. Most of the people use common passwords like “abc12345” or “name@123” which are very easy to guess. There is another group of peoples who use a single password for every signup, but be aware! Because if a hacker gets that single password then you will be really in very trouble.

Do you think all the news that spread across the internet is true and realistic? Not at all. Fake news has become a serious issue in the digital world. This news spread just like wildfire, without limitations and very fast impacting the lives of millions of peoples.  So how can we deal with fake news? It is not as easy as turning to a simple fact-checker. Such news is intentionally written with some story-by-story base. Here comes Python to help us.

A few days ago, I had to buy the Hard disk for my computer from amazon. Its price was much higher than I can afford, so decided to wait for the sale so that I can get it at a lower price. But in the daily routine, I got so busy that even sale came and go but I could not get notified about it, especially about the product that I was willing to buy. On that day I decided to do a small web scrapper project Python so that I can get notified in my inbox when the price falls below my expected price.

In this machine learning project, we need to build up a mathematical model for predicting the success class, for example, flop, hit, the super hit of the films. For doing this we need to build up a system in which the historical data of each component such as actor, actress, director, music that influences the success or failure of a movie is given. Then depend on different edges determined based on the basis of descriptive statistics of a dataset of each component will give flop, hit, super hit label. So, in this article, we are going to explore how to implement Movie success prediction using data mining. I hope you’re excited to see and learn the process of making the project. So, without any further delay, let get started!

With an increase in population, there is an evident increase in demand for land both residential and public buildings. To meet up this demand, the world has now moved towards resolving multi-storeyed buildings and the number of multi-storeyed buildings in the world is undoubtedly going to increase manifolds in the coming future. Not only the demand but also the cost of construction and cost of maintenance has suffered a significant uplift in the recent era.

In this case, if a building fails due to improper design, or lack of strength or rather ignorance at the time of construction, it will lead to enormous loss, both in terms of wealth and lives. Thus, in the present scenario, seismic analysis of any building is of prime importance. This analysis will help us to improve the existing structures and on the other hand, it will prevent the upcoming structures to be prone to the same kind of threat.

The population today faces an acute shortage of land and space. To get rid of this problem, people have resorted to multi-storeyed buildings both for commercial use and for residential purposes. As the height of the buildings increase, wind flows to become an important consideration for the designers. For static structures, wind interacts only with the external portion of the structure, but in the case of dynamic structures, the wind influences the motion of the building as well.

However, the effect of the wind flow on a building depends on a number of factors like the height of the building, it’s location, number of storeys, etc.

Trying to identify the bird species is a challenging task and often leads to ambiguous labels. Many times professional bird watchers fail to recognize the species of a bird from the image provided. Though many bird species are having the same basic set of parts like a beak, legs, feathers, etc, they can vary much in shape and appearance. The identification of birds species is a challenging task for both humans and computers. Factors like lighting, background or variation in positions (like swimming bird, flying bird) make a larger difference in recognizing the bird species for computers.

So in this python project, we are going to apply the power of machine learning with Python to identify the bird species from images.

What is Curriculum Vitae (CV)? In simple words, I can say that it is a document that reaches to the recruiter's table before you do! It tells briefly about your work, achievements, projects, and experience. The resume is the thing that helps you to sell your skill. It helps to stand out from the crowd and brand yourself. It’s okay up to this point but building an attractive and neat resume is an art. Only a few can create an impressive resume. Not everybody is an expert in it. Others have to buy it from an online website for a much high price. What a great opportunity it is for you if can build a small resume builder website and host it for public use. It will also create a decent income for you by charging users a few bucks and showing Google ads. Taking motivation from this idea, we are going to briefly discuss the project in this article.

To start with, you have to get acquainted with "What is phishing website?”,  So various clients buy items on the web and make installments through different sites. Numerous sites request that the client give touchy information, for example, username, password or credit card or bank details, etc. often for malicious reasons. This sort of site is known as a phishing website. To distinguish and anticipate a phishing site, we proposed a savvy, adaptable and successful framework that depends on ML. We implemented some algorithms and techniques to extract the phishing data for setting the criteria to classify their legitimacy. The phishing site can be recognized dependent on some significant qualities like URL and Domain Identity, and security and encryption criteria in the last phishing location rate. With the assistance of this framework, the client can likewise buy items online decisively. The administrator can include phishing site URL or phony site URL into a framework where the framework could access and sweep the phishing site and by utilizing the calculation, it will add new suspicious watchwords to the database. The framework utilizes ML innovation to add new watchwords to the database.

Student performance Prediction is a method for foreseeing an understudy's presentation dependent on his/her past marks. This additionally makes the student know whether he/she is in a situation to arrive at his/her normal or expected marks or not.  On the off chance that this model shows that he/she needs to improve then that student can get ready more for that semester with the goal that he/she can arrive at their normal score. This venture helps the students in improving their exhibition. Presently, Machine learning is one of the most developing and creating dialects nowadays and in this task, we went to utilize ML, some classification algorithms and python.

Online Job portal is a platform where a job-seeking employee comes to find his targeted job and apply for it if liked. Then track his job application.

The job details and description is added, updated and maintained by the employer of the company. Employer scrutinizes the job applications received, update the status of the application and then call the respective candidates for interviews.  There is another entity that plays the main role in keeping up the job portal on the internet that is portal admin. Admin is responsible for maintaining the website is well and good condition and available live for all the time. Admin also has the right to insert, update or delete the jobs.

Social media is the best way to connect to friends over the internet. We use social networking sites like Facebook, instagram, twitter, whatsapp and more in our daily life. What if we can build our own social site to share posts, images, videos, chat, make friends!

Natural disasters are one of the greatest tragedies that mankind has to face in the present era. Though there have been many types of research that are going on in this field and many measures have been adopted to prevent the losses caused by various natural disasters that befall humanity, no permanent solutions have been found for the problem. Moreover, with increasing urbanization, increasing pollution and deforestation, the threat of such disasters has increased manifolds. Natural calamities like earthquakes, tsunamis, floods, etc. continue to cause large scale losses to humankind both in terms of life and property.

This Data analytics project is done with the help of R which is one of the most popular programming languages for manipulation of statistical data. It is an open-source programming language and it provides a way to the user to molds their huge data and manipulates results based on various patterns. Sentiment Analysis is the process of deciding the nature of documents, texts, images, etc. it can be used to decide the polarity over opinions. By polarity, it means positive or negative.

The speech emotion recognition is one of the major python mini projects which will sort the people’s speech of emotions. The use of the project is can be viewed in call centers where companies record the speech pattern of the customers. The employees of the different companies cater to the needs of their customers and improve accordingly. The project requires knowledge over basic python language.

It is a disease which is a disorder in the nervous system. Parkinson’s disease affects the movement of the human body. In today’s world, around 1 million people are suffering from this disease. This is a disorder which produces neurodegenerative dopamine-producing neurons in the brain. The following system will detect Parkinson’s symptoms in the human body. The project will be made by a new machine learning algorithm called the XGBoost.

With the advancement in technology and new innovations in the civil design and constructions, it has become possible to make structures which are much lighter in weight. This is the reason due to which these structures develop initial vibrations. One of the major dangers that buildings possess these days are due to the earthquakes which are caused in the process of energy released by the earth. These natural waves can cause great damage to the structure and therefore many measures have been adopted to make the constructions capable of preventing these damages.

Floating columns have become very common in modern multi-storeyed buildings. The buildings constructed nowadays generally have an open ground storey to serve as a parking area or a hall, etc. These types of structures have a discontinuity in the transfer of loads as the columns are not complete. Thus, these structures possess a great risk of damage by earthquakes and are thus undesirable in the seismically active regions.  

With the increase in population, the need for high-rise buildings has increased many folds. These multi-storied buildings have become very popular in metro cities. With an increase in the number such ultra-high rise buildings, there has also been an increase in the need to make these buildings resistant to the effect of earthquakes and other lateral loads that may cause the building to fail in completing its purpose much before the completion of its lifetime.

Increasing population has led to a drastic increase in the number of multi-storied buildings in recent years. With this, open ground buildings have also become popular as these buildings provide parking area on the ground floor of the building itself and thus, there is no need to worry about creating a parking arena.

Color detection is used to identify the name of any color. Well, it is easy for us to identify the color name but for the computer machine, it is quite difficult. For the living organisms, the light receptors in the eye collect the light signals reflected from the objects and then convert it into electric signals. The signals are then sent to the brain to decode it and then identify it. Our brain has collected the color names throughout our life and hence we can name it quite easily. For this project, we will implement it through python language. As the study will be based on the study of huge database files so we need to download the data file which contains the name of colors and its values.

Earthquakes have been a threat to civil structures from a great time. With technological events, the structures have become all the slenderer and lighter and are thus more susceptible to damage by earthquakes as they undergo more sway under the effect of wind loads.  

To start with, we know that the “Smart City” topic is on-trend, so here I represent an app regarding this topic. All Smart cities incorporate numerous portable or web answers to manufacture an agreeable & comfortable human residence. One of these arrangements is to give an ecologically well disposed of, proficient and compelling trash the board framework. Now the current scenario for trash/wastage is not compatible if we discuss, the present trash assortment system incorporates routine dump trucks doing adjusts day by day or week by week, which doesn't cover each zone of the city yet is a totally wasteful utilization of government assets.

This python project enables us to determine the gender and age of the people. Computer vision will help us to study the pattern and provides the result. But the views of computer limit itself to study the high-definition characteristics of human beings. The whole project is based on object recognition, video tracking, motion estimation, and image restoration. In this python project, we will use deep learning to identify the gender and age of the person.

This analytics project is very component to understand the use of data analytics. Through projects like this, many companies can understand various complex operations. Uber Data Analysis project enables us to understand the complex data visualization of this huge organization. It is developed with the help of ‘R’ programming language. Let’s get started with the project.

This is a python project which will enable us to detect the drowsiness of the driver while he/she is driving a vehicle. The driver expressions are detected and then the dataset is compared to give the desired output on a particular scale. There are a lot of drivers and they all feel lazy or sleepy some times which could lead to fatal accidents. To reduce these accidents, a system should be developed which can identify the expressions of the driver and then alert the person in advance. This could save a lot of lives. This project will be helpful in that case.

Nowadays plants are suffering many diseases due to widespread use of pesticides and sprays but identifying rotten areas of plants in the early stage can save plants. Examination of plants disease literally means examining various observable pattern on plants. Manually detecting disease in plants can be a tiresome process, hence image processing can do wonders in this context. Plant disease can be seen in different parts like in stem, root, shoot and even in fruit. Detection of plant disease by the automatic way not only reduces time but also it is able to save the plant from the disease in the beginning stage itself. We use different image processing techniques to predict the problem in plants.

This system is unique and one of its kind. The smart city initiative shaped the system, and it proves to be an efficient system for the old school one of the same. It reduces the field duty of the officers, saving them from various accidents that happen when violators try to escape from their hands.

An intelligent piece of software which is capable of communicating and gives voice instructions is known as Chatbox. Making a Chatbox is not easy at all as it works on various machine learning concepts. Nowadays, Chatbox has become one of the important parts of machines as it enables a user to communicate directly to the machine. Interaction with the machine consists of voice instructions that the machine can understand. There are basically two types of Chatbox: -

Firstly, let me tell you a bit about the Traffic sign Recognition system. It is the procedure of naturally perceiving traffic signs along the street, including speed limit signs, caution signs, blend signs, and so forth. Being able to automatically recognize traffic signs empowers us to construct “smarter cars”. Traffic signs are a vital piece of our street and road infrastructure. They give basic data/info, at times convincing suggestions, for street clients, which expects them to change their driving conduct to ensure they stick to whatever street guideline at present authorized. Without such valuable signs, we would in all likelihood be confronted with more mishaps, as drivers would not be given basic input on how quickly they could securely go, or educated about street works, sharp turn, or school intersections ahead. Millions of people die on roads each year and this number would be a lot higher without our street signs. Normally, autonomous vehicles must also abide by road legislation and in this way perceive and comprehend traffic signs. And a project like this system can be pretty useful for the driver and to avoid any kind of mishappening and can have a safe and healthy drive. Generally, vision strategies were utilized to identify and order traffic signs. And I think we need this kind of implementation in this modern age.

This python project is very simple to understand & build and best for a developer for practising purposes. This kind of project will help the user to block certain distracting, unwanted websites from your PC like Gaming websites, Facebook, Instagram, Youtube, or any kind of website that bothers you, during your work hours or study hour, so that the user can not open them during the specific period. Rather than using other party applications to block certain websites, we can create our very own customized application which will block websites of our choice and developing a website blocker in python is not so difficult too as I mentioned earlier.

Introduction

Chatbots are very useful for business associations and furthermore clients. Most of the individuals want to talk legitimately from a chatbot as opposed to calling service centres. Facebook discharged information that demonstrated the value of bots. More than 2 billion messages are sent among individuals and organizations month to month. The HubSpot explore tells that 71% of the individuals need to get client service from informing applications. It is a fast method to get their issues understood so chatbots have a splendid future in associations.

Overview of the project

We can easily identify any image immediately after seeing it, but it is hard for the computer to do the same. Nowadays, deep learning has unveiled such difficulties and has facilitated us to build an application which can identify any image. The caption of the image is based on the huge database which will be fed to the system. This machine learning project of image caption generator is implemented with the help of python language. This project will also need the techniques of convolution neural network and recurrent neural network.

Overview of the project

The following project is based on identifying potential customers for a particular product. This project will be implemented using R programming language. For machine learning techniques we will use K-means clustering. The algorithm is used for the project is very essential. Segmentation is the process of dividing customers into various groups for targeted selling. This data analytics project can help sellers a lot in many ways. The sellers can know about the customer’s mentality hence increasing the market for the sellers. 

Speech is simply the most common method for communicating as people. It is just common at that point only natural then to extend out this correspondence medium to PC applications. We characterize speech emotion recognition (SER) as an assortment of systems that procedure and classify speech signals to detect the embedded emotions. In simple words, It is the act of attempting to recognize human emotion and affective states from speech. This is the system that will significantly take a shot at the way that voice frequently reflects hidden feelings through tone and pitch. SER is tough because emotions are subjective and annotating audio is challenging. By using this system, we can identify the human emotion like sad, cheerful, calm, angry, happy, fearful, regret, etc. by their speech or voice or we can say using some audio.

In this python project, you will figure out how to make a speed typing test using python. It's an extremely helpful project to keep track of your typing speed and improve it with regular practice. This mini python project is very interesting, simple and best for practice purposes. Speed Typing Test is a python based system that will check the your-typing speed in wpm (word per minute), accuracy, correct & wrong words,  most missed words, most inaccurate words, etc. This can be pretty and useful and helpful for those people who are not good at typing, they can do this test and get to know where they need to improve.

Classifying soil is in great demand as it helps to investigate the site and provides relevant knowledge about the materials that support construction there. Soils are classified based on different properties, it can be on the basis of location and on the basis of the size of particles in it. We can classify soil here on the basis of location and texture. Due to the rise in inflation hiring skilled labours and workers incur high cost. Conventional method of soil classification like pressure meter test, vane shear test are somewhat time- consuming and tricky as well. There is a dire need of automation in this field as well so we in this project illustrate about the usage of image processing techniques for classifying soil.

Hospitals need blood for saving patients life and knowing blood type during an emergency situation can save the life of the patient before any mishappening. Technology is becoming so advanced these days for stop happening of human errors, technology has developed image processing method for detecting blood group. This method basically eliminates transfusions. We have basically ABO blood typing system. The types of blood groups are Type A, Type B, Type O and Type AB.

This subject sounds intriguing and basic however at a similar point, it is a somewhat tricky project. with the appearance of AI, visual comprehension has gotten progressively important to the PC vision society. Age and Gender orientation orders have been around for a long while now and ceaseless endeavours have been made to improve its outcomes. Furthermore, this has been going on since the rise of social stages, which is very good for developing and growing. This article will show how will you make Gender and age detection using python.

Project Description

A decade ago aerodynamics was insignificant among commercial vehicle manufacturers. It had its application in aerospace industry and F1 or any other racing. Today more and more companies are focusing on aerodynamics of even the mid-range road vehicles. Researches have concluded that with proper optimization of aerodynamics, fuel efficiency improves.

In this project you will learn to use SIM SCALE, an online tool for performing the CFD analysis of a formula style racing car. SIM SCALE allows us to upload and perform analysis online so that we do CFD on even low end computers.

Our E-trade venture isolates into two primary parts; the initial segment is the making of dynamic E-business web destinations and overseeing them through our web website. The second part is shopping transactions that permit organization proprietors, who we make an E-business web website, to sell their items through our web webpage. This should be possible by demonstrating their items to customers and afterwards, buyers can play out all shopping procedures.

In this ever increasing era of diseases humans are dying on a regular basis due to lack of solution of how to get cured. With the expansion in the types of disease people are really becoming confused day by day where to find the best cure or which doctor to consult or which hospital to visit for the best possible result. To cure this problem the developers with the help of the coding language “Python” have coded a website for the masses to live in peace. “Hospital finder” is a boon for the suffering people. 

Machine learning is emerging as one of the latest technology nowadays. The computer is now capable of doing things and taking decisions based on various algorithms. The project based on Selfie is quite common but one can understand the way of the working of the system based on this. The system created will be capable of taking the Selfie by only detecting the person smile. The project is made with the help of C++ language and you will learn many things such as image processing, image manipulation, etc.

India’s progress in the digital market proves to be a boon for the citizens. The digital market had linked all our daily courses. Like for example, we now can order clothes from shopping sites, or even buy grocery that also can be done online. So, keeping that in mind the developers have come into building a project called pharmacy project where like clothes medicines will be delivered to the customer. This project has been coded in python. So, it comprises of python script and its database files. It is basically a medicine management system where the user has the scope to access the medicine required by him/her and purchase it.

The OCR or optical character reader works in such a way that it detects the text in an image and displays it on the screen. Well, it's not that tough to build a character reader for ourselves. The text scanner works on some algorithm to portray the result. The step-by-step objectives of the project are as follows: -

Thousands of thoughts linger in our minds every minute. Even when we are travelling outside or sitting in a room there are plenty of thoughts that comes in our mind but can we remember every single one of them an hour later? So why not put those thoughts somewhere down. So moving with this creative idea in mind developers with Python programming language has developed this virtual notebook mini project where we can write our thoughts down. In our subconscious mind, we think a lot of logical things that we forget later so if we write the moment the thoughts arise that way it will be accessible. But the problem was if we had some thoughts in our mind while we were jogging or walking or travelling we could not write as we always do not carry paper and pen but we do carry our phone everywhere so in this way the virtual notebook comes in handy.

In this modern time, people are more dependent on machines than manual work. We in our daily lives we are surrounded by machines that provide us comfort or makes our work easier. Not only us even doctors used machines diagnosis and in case of surgeries. Machinery work has become an important part of our lives. Even in work, multiple manual works is being done by a machine. Even the scientist have developed a lot of machines for scanning the human body so that diseases can be treated in a more appropriate manner. As in the medical field, cancer is considered as the ultimate threat so prevention of it is a prime effort for all the people. So, python has created a platform which helps to detect cancer of a person. This project has been created keeping in mind that the early one can detect the most chances he/she has for the cure.

Data has become a very vital and important part of the technology age. We as a human rely on data and information to process things later. Handling these huge data can be a tough task but we have found some ways to manipulate it easily. We will be using the R programming language to build this project. R programming language is open-source software which was developed for data mining and statistical manipulation of the data.

Machine learning refers to the intelligence which the computer learns by itself to take some decisions on its own. The system which we will work is on the fraud detection project which involves machine learning concepts. Machine learning concepts have now been used in every field such as commerce, medical, banking, insurance, etc. The project aims to detect anything frauds while shopping online, or doing transaction. The system will read the malicious pattern and then display it to the administrator.

Voice assistants come to some degree, in small modules and can play out an assortment of activities subsequent to hearing your command. They can turn on lights, answer questions, play music, put in online requests and do a wide range of AI-based stuff.

If you are a student presently studying at any level, you must take in many doubts while reading or working out any problem, and in the campus, you don’t cognize where the particular subject professor is at the minute. If you have where’s my professor then it would get softer for you to see him/her at that instant or you can even request for a meeting. This finds my professor – python project will allow the user to select the professor and request him/her for a meeting for any query and will be granted admittance to the professor’s time table.  The faculty will be granted admittance to the requests and to bear them or eliminate them. The professor will be asked to update his/her timetable if any modifications. Both the sides will be notified for their requests.

Road accident is one amongst the crucial areas in India. The information to be analyzed is collected from various sources and has various aspects. It's a challenge to collect all such relevant data, detect and analyze it together to get decision trees that give information about previous accidents. One amongst the most objectives in accident data analysis is to spot the most factors of road accidents. For this matter, there's a necessity of machine learning to research the speed of accident. The results of this project are utilized to place some accident prevention efforts within the areas identified for a various variety of accidents to beat the number of accidents.

As we all know about TIC TAC TOE game is a very famous game for many years. In past years, it can only be played with pen and paper by using cross and zero. Nowadays, as our technology is enhancing it has changed its place from paper to technical gadgets. After successful implementation in programming language C now we are going to implement the TIC TAC TOE game using python. In this python project, we are going to develop an interactive game where two players will be able to play against each other in suitable GUI by using a keyboard and mouse in their PCs.

We all know how automation is taking over and the need for human interaction is minimal. This mini project is used to control the appliances of the house with the help of Arduino and MATLAB. Home automation is no new concept; around the world, it is a growing field of electronics which obviously require some computer concepts. MATLAB is an environment which is considered to be a numerical computing environment.

Project description

Education is essential for the development of intellect and knowledge of a person as well as for the growth of the economy of a nation. An enhancement in the teaching sector has directly resulted in advancement in the saving of a country, as it raises the skill-set of the workforce which can get fuller usage of the available technology. Nevertheless, to the utter dismay, currently, the Indian education system faces a number of setbacks, the main one being lack of standardization in both school and university/college level.

Overview

We all have seen the various graphs which portray different results for better understanding. Just like this, we will be tracing the graph of the real temperature using MATLAB. The project will be carried out with the help of the LM35 sensor. Arduino Uno is used here to get the temperature from the LM35 sensor. The graph will be made with the help of the two axes.

We live in an era of personalization, as the days evolve nothing remains static. Through Machine Learning and Data Science nowadays it is possible to suggest, create a product according to the user’s choice and preferences. Personalization, that is recommendations are somewhat static-like Spotify or Netflix uses these algorithms to recommend users what they want to see or listen based on their previously played playlist.

There are further optimizations we can do using data science is to offer more personalized services, such as dynamic pricing used for Movie ticket booking.

Object detection is associated with computer vision and describes a system that can identify the presence of any desired body or object in an image. The output of an object detection process is an image bounded with boxes around the object we want to detect and describe the name of the object. This is one of the most powerful machine learning algorithms.

Autonomous driving cars have an embedded system that can perform object detection in real-time. For instance, when the autonomous car’s system detects a human-shaped body crossing the road the car stops several feet before coming in contact with the human body.

Machine learning is a technique that teaches the computer to perform the actions done by humans or animals (basically learning from experience). Using machine learning you can able to analyse large amounts of data with almost accurate results.

In this machine learning project, you will get an idea about how to use machine learning to predict the coronavirus/COVID-19 outbreak. You can also use the same method to predict other epidemic diseases like malaria, dengue, swine flu, SARS, etc. Recently coronavirus has created a huge impact worldwide by infecting lakhs of people and killing thousands.

Building Information Modelling is a process of 3-D modelling that has gained much popularity among architects and designers in recent times. The industry today is shifting more towards practical approach and thus, model-based programs are much more preferred over the theoretical approach. BIM enhances the efficiency of the designers as it gives them a much more realistic view of their design and the wide scope of adjustment and control. It gives you an option of experimenting before coming on to a decision along with letting you focus on the smallest of the details of your design. The industry today puts up more trust in something that they understand and are able to visualise and BIM makes this much easy for the architect.

Thus, seeing the popularity and need of Building Information Modelling in the industry, Skyfi Labs brings to you this online course on BIM which is more of a practical course where you will learn to use software for building modelling.

Overview

Image processing is a technique by which we can manipulate the image taken by some camera. For example, the camera on your phone is able to tell your age and gender. This is all due to image processing applications. MATLAB gives an environment which helps us to create such projects. In this project, we will learn how to implement this technique. Google lens is one such example where the camera is able to give the name of the object which you are pointing at.

Image processing consists of a lot of applications such as Face recognition, object detection, code scanners, and many more. Image processing using the MATLAB can be done using two ways such as Editor Window or GUI. The code is entered in the MATLAB window editor and that code can be downloaded from the internet easily. The GUI gives a whole interface to work on the project.

When it comes to submission’s we often tend to be late, or become lazy to do the assignments, practical’s and submit them late, or find it hard to submit it on paper. Let’s build a submission portal which helps students to submit their practical and assignments online easily. And the faculty can upload documents on the portal for students’ reference. The students can upload and download documents as well as the faculty. And students will then graded for their work on the portal itself.

Nowadays many companies, schools, colleges etc. take surveys regarding feedback of their particular products. It becomes hard for them to take it on paper, and plus it encourages to wastage of paper and affects the environment.

So, let’s build up a smart feedback system, where a particular company, school or college can register itself and create feedbacks for their products, teachers and working system. And allow their employees, students and parents to give them feedback.

Nowadays Machine Learning is used in different domains. From recommending movies to detecting any disease, machine learning is the most talked thing in today's world of technology. Breast Cancer is one of the most common diseases among women. Early diagnosis of such cases can reduce the risk and increases the chance of survival. Diagnosis of the right time can prevent patients from undergoing unnecessary treatments and operations.

When we have a website, we have a certain requirement of data collection, normally we do it using a database, but here we are using python to create the data collection tool. In today’s world, the data analysts use such tools made using python and machine learning to collect data, scrap it and analyze it. It is not a major project, you can use it as a mini project. We are creating a data collection tool for collecting data from a simple form used for local use.

There are many languages around the globe, but the majority of content we see is in the English language online as well as offline. English is the official language of only seven countries comprising little more than five per cent of the globe’s population. Many corporate people want to talk or communicate in their native language and use the English language as their second language. By using machine translation with the help of python anyone could easily translate the content in one language to another language in real-time. If they own their smartphone they can be familiar with one more facility that they use on a daily basis that is Google Assistant, Siri, and Alexa. They all are using speech to text models, it saves a ton of time of typing an important document. In this project, we will also discuss this technology using Python.

As we tend to all understand India could be a developing country. Increase in automobile sector comes with the event of development paralleled. This has led to widening in personal vehicles which cause a rise in congestion in large cities. So, we have a great need for a suitable traffic management system. This MATLAB project is all about to establish a program to make a traffic management system which is ready to detect live traffic flows are available in present traffic scenario in a lane. The system is to use already installed cameras in road networks with none additional controlled devices. It uses a strong division algorithm that discovers foreground pixels to cherish surrounding transport.

Signature and Brand logo act as a significant content for numerous documents specially for scanned documents. Brand recognition in pictures and videos is the key drawback in an exceedingly very large choice of applications, like infringement detection, discourse advertises placement, vehicle brand for intelligent traffic-control systems, machine-controlled computation of brand-related statistics on social media, etc. Historically, Brand logo recognition has been self-addressed with key point-based detectors and descriptors. This technique for brand recognition uses deep learning. Our recognition pipeline consists of a brand region proposal followed by a framework of Python known as PyTorch specifically trained for brand classification, whether or not they are exactly localized.

In this CAD project, you will learn to design and simulate a differential gear using Autodesk Inventor software. Autodesk Inventor software is widely used by design engineer professionals to create 2D and 3D models of various parts.

Earlier, manufacturers used to draw the 2D diagram of the product to be designed in different views - front view, side view, and top view. Then, they will start to manufacture and test the model. Here a lot of time is invested in manufacturing and testing. To overcome the above issue designers started using CAD software. CAD stands for Computer-Aided Design which is used to design, test and analyze the model.

CAD (Computer Aided Designing) is the process of making a 2D or 3D design of a product using the design software which makes designing and upgrading the product design faster compared to the manual drawing.

In this CAD project, we are going to use Autodesk Inventor software to design a Gear train assembly. Autodesk Inventor is a 3D CAD software that enables the user to design, simulate, visualize and create documentation for a product.

Machine learning is a branch of Artificial Intelligence which is used to analyse the data more smartly. It automates the process using certain algorithms to minimize human intervention in the process.

In this machine learning project, we are going to predict the house price using python. This project will help the sellers and buyers to have an overview of the situation so that they can act accordingly.

In this machine learning project, we will use deep learning method to detect the brain tumours with the help of MRI (Magnetic Resonance Imaging) images of the brain.

Brain tumours are two types: malignant and benign. Most of the disease will reach the critical stage if not detected earlier. Timely detection of the disease will help a lot in the treatment process.

The major cause of brain tumours is because of the abnormal growth and uncontrolled cell division in the brain. Pituitary, meningioma and Glioma are some of the common types of tumours.

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