AI-powered vehicle damage assessment system that automates visual inspection using Custom ML Model , Azure Computer Vision API, and OpenCV to classify damage severity , detect damaged regions, estimate repair costs ($200-$20K), and generate comprehensive reports with annotated damage maps—reducing assessment time from hours to seconds.
An intelligent Retrieval-Augmented Generation (RAG) chatbot that helps users identify and prevent fraud scenarios. Built with Streamlit, LlamaIndex, Qdrant Cloud, and Mistral AI.
The Multi-Source Content Summarizer is an AI-powered web application that extracts and summarizes content from YouTube videos and websites. Using the Llama-70B model through Groq API, this tool generates customizable summaries with additional features like mind maps, text-to-speech, and an interactive chat interface.