corpus

The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.

The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.

An AI-powered, open-source Streamlit application for preserving Indian culture and diversity through multi-media corpus collection with persistent data storage and secure authentication

Gamanam — A Python Streamlit web application for sharing and exploring festivals, art, dance, and music. Users can create posts, view submissions from others, and interact with a cultural community. The app uses a SQLite database to store posts and user data.