The Chest Cancer Classification project diagnoses chest cancer from medical images using deep learning. It integrates MLflow for experiment tracking, DVC for version control, and Flask for backend processing. Docker and a CI/CD pipeline with GitHub Actions and AWS.

A single-page web app serving a Machine Learning model which classifies traffic signs. This Flask app is served by Gunicorn with NGINX as the reverse proxy.

In this project, I'm developing an image classifier to determine if an image is AI-generated or real. I'm currently using EfficientNetB4 for training and have built the application with Flask for seamless integration and deployment.

The EuRecog gesture recognition app is a hand gesture recognition system that lets a user customize ten unique hand gesture signs with questions, then based on the gesture provided by said user in usage sends the question attached to that gesture to an LLM (Open AI's gpt-3.5-turbo-instruct) then provides an answer in both text and audio form.

This application is designed for environmental audio classification and aims to assist individuals who are deaf or have severe hearing loss by focusing on environmental and urban sounds.

A web application for recognizing cars

An image classification tool built with React, Flask, and TensorFlow. Upload images for instant classification using a pre-trained model. Explore the world of machine learning.

This repo explore the vertex ai component

This project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker) by integrating CI/CD pipelines with automated releases and tests.

Skin_Scan a Mobile application aimed at detecting skin diseases through machine learning using smartphone cameras implemented using flutter and flask framework.

Hobby project created to learn more about ML and algorithms

The back end of our graduation project deployment

Flask based web application which allows users to upload and visualize Keras Neural Network models in an intuitive way.

Web-based Shape & MNIST Recognition Deep Learning Application.

This is a ML based Web App that aims to detect the presence of late blight or early blight on potato leaves, which are the primary causes of crop damage. Additionally, the system recommends appropriate precautions and pesticides to help farmers eliminate the blight and protect their crops and increasing their yields.

📚 Backend for Ariadne, handling self-reported deceptive design and calls to classifiers

Conditional Generative Adversarial Network (cGAN) model built in Python for generating real 2D images of hands depicting Rock Paper Scissors shapes as used in the game.

Multi Disease Prediction Model for predicting 50+ different diseases using 9 different ML models along with medical insurance prediction model and achieved more than 90% accuracy on each model.

This GitHub repo contains a Cataract-Prediction project deployed using Flask web framework. The project involves the development of a machine learning model to predict the presence of cataracts in eye images. The Flask web application allows users to upload eye images and receive a prediction of cataract presence.

CS50 final project - webapp to train neural network