A real-time, AI-powered interview assistant that connects with platforms like Google Meet and Zoom to transcribe live interviews using Deepgram’s SST API (~100ms latency). It extracts questions, retrieves context from user-uploaded resumes or documents (via Gemini + Pinecone), and generates accurate responses using Claude.

Gemini Pro LLM and Pinecone Vector Database for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex

AI-powered customer support chatbot using n8n workflows with RAG (Retrieval-Augmented Generation), Groq LLM, Gemini embeddings, and vector store for dynamic FAQ retrieval

talk2pdf is an AI-powered application that enables seamless, multilingual voice and text interaction with your PDFs. It combines advanced retrieval-augmented generation (RAG), Gemini AI, and speech APIs to support natural, conversational, and voice-based queries in multiple languages, making document exploration simple and interactive.

chatgpt-project

A plug-and-play framework for a RAG (Retrieval-Augmented Generation) pipeline using Google's Gemini Embedding 2 model, the first fully multimodal embedding model to store and query embeddings across text, images, video, and audio.

A medical chatbot that delivers health information, answers queries, and assists in diagnosis using RAG-based with a powerful language model for improved accuracy and reliability.

backend for Rag pdf and image understanding projects

VerbaVista is an LLM-powered Streamlit app that transforms any YouTube video into structured English notes and an interactive chatbot. It automatically fetches, translates, chunks, and embeds transcripts using Gemini + LangChain, enabling contextual Q&A through a RAG pipeline with Chroma.

A search engine for research papers, built by students for students

An AI-driven learning tool using RAG to analyze web, YouTube, and text content. Features a 3D Three.js UI with glassmorphism, powered by Flask, FAISS, and Gemini API. Offers Q&A, summaries, mock tests, and visualizations like mind maps and flowcharts for an engaging educational experience.

GenAI | RAG-based system for semantic Q&A over YouTube transcripts using FAISS, Gemini embeddings, and LLM-driven context-aware generation

A CV Scorerer built with React and FastAPI. Uses Gemini API and Gemini Embeddings.

An intelligent medical document analysis system that uses AI to help users understand and query their medical PDFs through natural language conversations.

Graphiti service for manufacturing assets.

An AI-powered music classifier and semantic search tool built with Google Gemini Embeddings 2 and Electron.

Multimodal semantic search for local photo libraries using Gemini Embedding 2 — search by text or image, no captions required.

GraphIQ: An agentic AI system designed to extract knowledge from documents, represent it as a graph, and enable context-aware question answering.

An intelligent healthcare receptionist application powered by Retrieval-Augmented Generation (RAG) technology with hybrid search.

Messenger automation for recipes recommendations