An Image Captioning Application.

A full-stack AI-powered image captioning app built with ReactJS (using Vite) and Flask. Users can upload images, and the app generates descriptive captions using Hugging Face’s BLIP model. Perfect for showcasing AI integration and web development skills in a mini-project.

A Flask-based API that generates captions for images using a custom deep learning model (BLIP). API accepts image or image frames and returns the caption generated using BLIP model.

Drone based Image Descriptor - Toyota Hackathon 2025

Fine Tuned the model BLIP to accurately caption images of Tom and Jerry.

A Visual Question Answering (VQA) Application.

Fine-tuned BLIP model on Flickr8k for multimodal image captioning (vision + language).

This project generates behavioral descriptions from images by combining computer vision and natural language processing. It goes beyond basic scene descriptions to infer human behaviors, intentions, and social contexts.

Welcome to the AI-Powered Interactive Learning Assistant! 🚀. This is an open-source, free, and low-hardware-intensive project designed especially for students and educators! Our goal is to bring the power of AI right into your classroom, making learning more interactive, engaging, and accessible for everyone.

A simple web application that generates captions for images using the BLIP model from Hugging Face Transformers and a user-friendly interface created with Gradio.