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

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

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%

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.

CNN for dog breed classification

A Deep Learning project to identify a dog's breed or resembling dog breed for the user-supplied images using CNNs

Built with convolutional neural networks using Keras and Tensorflow

Using Deep Learning and Convolutional Neural network to train a model to classify German Traffic Signs

This project is a web application for detecting skin cancer using object detection techniques. It leverages the YOLOv8 model to identify various types of skin cancer from uploaded images or videos, as well as through live webcam feeds.

As we all know music is ubiquitous. We listen to music everywhere. Often we listen to music according to our playlists and most of the time the songs in playlist are grouped by the genre. So, classifying music according to genre is an important task. In this project I have used the GTZAN dataset which consists of 1000 songs divided into 10 genre…

Image colorization is a challenging task and a topic of ongoing research in the area of Computer Vision. We present a convolutional-neural-network-based system that faithfully colorizes black and white photographic images without direct human assistance. We explore various network architectures, objectives, color spaces, and problem formulations…