open-cv

Facial Emotion Recognition using OpenCV and Deepface

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

Live Streaming and Face Detection with Flask in Browser

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

A tool for game Project Sekai: Colorful Stage that automates dailies for you.

A TensorFlow (Deep Learning - CNN) based solution for tackling captcha when collecting data from Amazon.

🖼️ Let's Make a Binary Face

Dehaze input images/ video

In this project, deep neural networks and convolutional neural networks are used to classify traffic signs. A model is trained so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, the model is tested on new images of traffic signs that are found on the web

Self driving car Lane detection

Realtime sign language gesture recognition web application developed using OpenCV & Tensor-flow

University project : Tangram puzzle solver

The implementation of edge detection algorithms introduced in my technical report called "A Study on Edge Detection Algorithms for Grayscale Images".

This code segments out the drive-able portion of the road from the surrounding.

This Python project utilizes MediaPipe to recognize hand landmarks in images, videos, and webcam streams. It detects and locates 21 key points on the hand, offering a simple and efficient solution for various applications requiring hand gesture analysis.

A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).

Smart eye glasses, it is an AI based audio transcriber for visually impaired. It helps visually challenged people to read books and novels by themselves even in the absence of guide.

British Sign Language Translator is a real-time AI-powered system that translates BSL gestures into English text. It captures hand, face, and upper-body motion via webcam, provides instant, on-device recognition, and enables accessible, privacy-first communication between signers and non-signers

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