Implementation of and experimentation with image captioning models based on the Show, Attend and Tell paper. 🏞️

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

Arrhythmia Detection Using Algorithm and Hardware Co-design for Neural Network Inference Accelerators

web application that help people grow healthy plants

An AI-powered web application that lets you upload CT images to instantly detect and visualize kidney stones using a custom deep-learning model, complete with confidence bars, high-res downloads, and a sleek, interactive Tailwind-CSS interface.

Data Structure Project to Fulfill the Sixth-Semester Final Assignment (CNN Model + Flask)

This project aims to classify whether a given image is AI-generated or Human-generated using a custom-built deep learning model. The idea emerged from a Kaggle competition in which participants had to design an effective model for this binary classification task. he Model is trained from a kaggle competition dataset. Model accuracy : 90%

The app is build using CNN and is deplyed on heroku server as a flask-python app.

This project is a web-based application that uses a Convolutional Neural Network (CNN) to detect brain tumors from MRI images. It allows users to upload MRI scans, which are then analyzed using a trained deep learning model to predict whether a brain tumor is present or not. The prediction results, along with user details, are stored in MongoDB.

COSC 6373 - Computer Vision - UH Spring 2025

Build and end-to-end facial keypoint recognition system using computer vision techniques and deep learning.

A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.

American Sign Language (ASL) Detection using CNN

Project created for Udacity course "Deep Learning"

The Cotton Disease Detection System is an AI-powered web application that helps farmers and agricultural experts identify diseases in cotton plants through image analysis.

UI for Real-Time Smoking Detection.