Radhika's AI DocManger: An AI Documenet Management System
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Updated
May 6, 2025 - TypeScript
Radhika's AI DocManger: An AI Documenet Management System
Codehive Genie is an AI-powered coding assistant integrated into the Codehive platform, designed to simplify coding tasks such as code generation, bug fixing, and optimization. Powered by Llama 3.1 and deployed on Vercel, it supports multiple programming languages, including Python, C, Java, JavaScript, TypeScript, and C++.
Codehive Genie is an AI-powered coding assistant integrated into the Codehive platform, designed to simplify coding tasks such as code generation, bug fixing, and optimization. Powered by Llama 3.1 and deployed on Vercel, it supports multiple programming languages, including Python, C, Java, JavaScript, TypeScript, and C++.
🌿 AyurGuru Flask API is an intelligent, Ayurveda-focused conversational API designed to provide insightful and meaningful responses powered by advanced AI models like Groq Cloud and Llama 3.1. It offers Ayurveda-specific guidance on topics like herbal remedies and lifestyle practices, along with context-aware interaction through document summary.
AyurGuru - Revolutionizing Wellness with Ayurveda and AI. AyurGuru is an AI-powered platform delivering Ayurvedic health solutions in real time. Users can consult a smart chatbot, upload medical reports for tailored insights, and explore comprehensive Ayurvedic blogs. Built with modern web technologies for a secure and seamless user experience.
An AI-powered chatbot designed to help users improve their pronunciation, build confidence, and practice communication skills. The chatbot provides personalized feedback, interactive conversations, and generates detailed progress reports.
🧠Big Brain acts as your team's second brain, storing all your docs and allowing easy vector search.
A practical implementation of the Model Context Protocol (MCP) with multiple specialized servers (key-value, calculator, weather) and LLM integration via Groq. Demonstrates how AI assistants can use external tools through a standardized protocol. Includes clients, documentation, and examples for learning and extending MCP capabilities.
The Talx API powers the AI-driven features of the Talx platform, enabling intelligent functionalities such as ResumeAI and Chat Assistant AI.
An AI-powered chatbot that leverages RAG (Retrieval-Augmented Generation) to answer your questions based on the content of uploaded PDFs
Publishing is a tricky issue when it comes to renovating and extending the original book — by adding paragraphs, text chunks, or other details. Thanks to Python and Groq Cloud, editorial audits can be automated. This repo offers a flexible tool for text rewriting with slight expansion and auto translation.
GroqChatBot is a high-performance conversational chatbot built using Streamlit and Groq's Language Processing Unit (LPU) 🚀. It leverages the LangChain framework to provide a seamless and interactive chat experience 💬. This chatbot can answer questions ❓, provide information 📚, and engage in friendly conversations with users 😊.
An interactive platform to explore and experiment with various AI models powered by Groq. 🤖 Customize parameters, chat with AI, and export your conversations in multiple formats. 📄✨
An intelligent AI-driven web application that assists job seekers in crafting personalized cold emails to companies by analyzing their resume, previous projects, and the job description.
A collection of intelligent AI agents built using Python, designed to solve real-world tasks autonomously through reasoning, planning, and interaction. This repository showcases modular, goal-driven agent architectures for research and practical applications.
An AI-powered web app that analyzes stock performance using share prices from the past 3 days.
This is a utilization of a Python code snippet that uses Groq API which is very fast at generating AI model output
Python based web-app utilising LLMs to ease understanding of various government schemes.
Enhanced chatbot interface powered by Groq API, Made with ❤️ by Tushar Gautam in Streamlit
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