The Earthquake Emergency Response Robots project aims to create, develop, and implement systems specifically designed to handle post-earthquake situations. The main focus of the project is to build adaptable robots that come equipped with sensors and communication capabilities.

Classifying images of Dogs by Breed

A FYP project for degree. It is a web app that provide automatic guitar chord recognition by using visual data.

Visionic is designed to assist the elderly by integrating advanced computer vision and audio processing technologies.

Алгоритмы распознавания образов

Dog Breed Classification Project for the Deep Learning Foundation class

RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.

American Sign Language (ASL) Detection using CNN

Gamified Intervention for Stress Relief project aims to develop an innovative intervention system using facial recognition technology and machine learning models. The system is designed to assist individuals in managing stress levels through gamification techniques.

In this project ANN model is build on the Prediction of HR Interview Analysis and Video Game SalesmAnalysis and CNN Model is build on Cats & Dogs Image Classification.

Skin Disease Detection WebApp

DiagnoSys is a comprehensive web application that provides advanced detection and analysis for various health conditions. This project leverages state-of-the-art machine learning algorithms to detect and diagnose COVID-19, Alzheimer's disease, breast cancer, and pneumonia using X-ray and MRI datasets.

Divide and conquer approach in extracting MBTI personality types with deep neural networks.

This project is used to identify the fake vehicle by using number plate and face recognition . Problem statement provided by KAVACH HACKATHON 2023 PSID = KVH-005

Project for skin disease detection.

Full stack farm management app | Foundations Graduation Project

A neural network that transforms a design mock-up into a static website.

This a website which can identify either a input image of leaf is ayurvedic or not

This repository contains the front-end code for a web application that utilizes a serverless Convolutional Neural Network (CNN) to predict handwritten numbers. Users can draw or upload images of digits, and the CNN will output its prediction in real-time. The application is built using modern front-end technologies such as React and Bootstrap.