groq-llm

Insurance AI Assistant A smart system combining PostgreSQL, Milvus, and specialized AI agents (Life/Home/Auto) to answer insurance queries accurately. Features real-time sync, semantic search via OpenAI embeddings, and a Streamlit UI. Perfect for insurance tech demos or customer service augmentation.

A production-grade Multi-Vendor Food Delivery Platform with AI Chatbot (Groq LLM), Real-Time GPS Tracking (Socket.io), Biometric Auth (WebAuthn), Razorpay Payments, 4-Role Dashboards, and Gamification. MERN Stack + Redis + PWA.

An interactive AI chatbot built with Streamlit and Groq API using the powerful llama-3.3-70b-versatile model. Features include a modern UI, memory toggle, and downloadable chat history. Ideal for testing LLMs or deploying a smart assistant in real-time.

A modern, AI-powered email generation platform built with Next.js 14, TypeScript, and Tailwind CSS. Features include real-time email previews, rich text editing, multiple recipient support, and server-side email handling with Nodemailer.

RAG-based conversational AI for Superior University — 4,750+ pages indexed using LangChain, FAISS, and Groq LLM

LLM-driven browser agent: observe → plan → act loop on Playwright + FastAPI, live-streamed to a React UI. No agent frameworks.

Here i am using langsmith to test my rag versions and other chains made using langchain runnables etc.

AEIRS is a unified AI-powered analysis platform designed to extract insights from videos, audio, images, and tabular datasets. It combines LLM reasoning, automated analytics, and interactive visualization into a single modular system.

Está é uma AI com um simples site onde só tem uma caixa de perguntas e uma caixa de respostas. Essa AI funciona a partir da API "Groq", essa API é responsável por fazer a AI funcionar. Para adicionar uma API, vc precisa de criar um arquivo .env com o nome "GROQ_API_KEY" e coloque a Key da API.

An intelligent LLM-powered research orchestration system built using LangChain Runnables. This project demonstrates modular AI workflow engineering through parallel section generation, prompt orchestration, dynamic pipeline construction, and automated research report synthesis.

An end-to-end ML application that predicts bank customer churn using 9 different models and provides AI-generated retention strategies with Groq LLM. Built with Streamlit for interactive predictions and visualizations.

This project is an AI-powered Database Assistant that enables users to interact with relational databases using natural language instead of writing SQL queries.

Stateful Multi-Session AI Assistant built with LangGraph, Streamlit, SQLite, and Groq LLM featuring persistent memory and real-time streaming.

Full-stack RAG document intelligence platform built with the MERN stack and Gemini 2.5 Flash. Features table-aware PDF text extraction, OCR, vector semantic search, multi-document scoped chat with citations, persistent sessions, automated Groq titles, and an installable PWA layout.

🏀 Discover real-time sports insights with SportsFeed AI, an app that uses AI to answer your sports questions using free APIs and open-source models.

An AI-powered recruitment automation workflow built with n8n, Groq LLM, Google Drive, and Google Sheets for automated resume screening, candidate scoring, interview question generation, and hiring recommendations.

Unhinged dark-themed Android app that roasts food cravings with Groq LLM & ElevenLabs TTS, then locates nearby spots via OpenStreetMap.

A Streamlit-based AI application that allows users to upload PDFs and chat with them using Retrieval-Augmented Generation (RAG) powered by LangChain, ChromaDB, HuggingFace embeddings, and Groq LLM.

A sports feed application that uses AI to answer natural-language questions about sports using free APIs and open-source LLMs.