The pandemic due to the Covid-19 had almost made the world come to a standstill. Yet we were able to adapt to the situation with the help of computer technology by working from home and getting everything done remotely. During these times of uncertainty being locked down in homes, health and fitness have become a major concern. Moreover, the use of Artificial Intelligence is not a foreign concept when it comes to the detection and recognition of human body movements or gestures.  We are proposing a methodology that is able to detect and recognize pushups in real time and estimate energy expenditure without needing any extra sensors or other wearable devices in order to keep the system a cost-effective solution.

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Herb leaves plays a significant role to cure various human disease throughout the world. Furthermore, it has had a great impact on clinical science. People have less information about herbs accordingly it turns into an issue to recognize them. Besides, utilizing harmful plants as a drug would genuinely expand the danger to life. As a result, it becomes a significant issue to recognize useful herb leaves.  In the paper, we classify the five types of herbs respectively Mehndi, Betel, Mint, Basil, and Aloe Vera.  

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In the present day, ensuring security is the top priority for living a healthy, stress-free life. There are many CCTV-based security systems in use today, but they are not real-time systems since authorities do not get alerts when an event happens unless there is a security crew there to provide direct monitoring.  The goal of this project is to develop and deploy a smart, cost-efficient IoT-based Human Traffic Monitoring (HTM) system that can identify allowed and unauthorized individuals while also preserving pertinent data. 

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Water logging is one of the significant problems in developing countries. Unplanned city structures and excessive usage of plastics are the main reason behind unwanted water logging. Usually, Plastic or other garbage clogs the drainage system during the rain which led to water logging. However, changing the infrastructure of cities is pretty impossible. Hence, an IoT based water logging forewarning system can play a vital role to solve the problem by alerting the authority so that they can take proper actions in a short amount of time to prevent water logging. In this project, we use the combination of IoT and Computer vision techniques. 

Paper -> In progress 

What is Machine Learning and what are the differences between human learning and machine learning? Is it possible to estimate temperature by counting insect chirping sounds?  I have answered all of these questions in this video. 

It is always surprising how a machine learns to identify an item from pixel values in a picture. I have explained how a machine learn to classify and localize objects in  this video.

I trained a tiny yolo model first and then converted the weight file into tf lite. Furthermore, build an android app capable of detecting push-up exercises in real-time using a camera sensor and then calculate repetition frequency in order to estimate burned calories. 

My younger brother broke his arm. After the surgery, the doctor suggested to my brother some regular exercises aiming to reactive his muscle functionality.  However, my brother found those exercises boring. So I made this simple system  by using open cv so that he could play the Dinosaur Game with his arm movement. 

I made two custom Instagram story filters by using sparking AR . Former one is for myself and the latter is for an online shopping brand Latest Trends.