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📈 Market Mentor Powered by Groq

An AI-powered financial assistant that delivers real-time market insights through an interactive chatbot interface. The platform combines advanced AI models, live financial visualization, and voice-based interaction to simplify access to complex financial data.

Developed as a Minor Project at Jaypee Institute of Information Technology, Noida. :contentReference[oaicite:0]{index=0}


Project Screenshot

🚀 Features

  • 🤖 AI-powered chatbot for financial queries
  • 🎙️ Voice-based query input using speech-to-text Project Screenshot
  • 📊 Real-time interactive stock charts with TradingView
  • 💹 Multi-asset market support
    • Stocks
    • Forex
    • Bonds
    • Cryptocurrencies Project Screenshot
  • 🌗 Light/Dark theme support
  • ⚡ Fast AI inference with Groq API
  • 🧠 Context-aware financial responses with minimal latency

Project Screenshot

🛠️ Tech Stack

Frontend

  • React
  • Next.js
  • TypeScript
  • Tailwind CSS

Project Screenshot

Backend

  • Groq API
  • Llama3-70B
  • Secure API Integrations

Tools & Technologies

  • TradingView
  • JMeter

🧠 Project Workflow

  1. User enters query through chat or voice input
  2. Query is processed using Llama3-70B via Groq API
  3. Real-time financial data is fetched from TradingView
  4. AI generates contextual insights and responses
  5. Results are dynamically displayed on the frontend

📷 Key Functionalities

📌 AI Financial Assistant

Provides intelligent responses to financial and market-related queries in real time.

📌 Voice Query Support

Users can interact using voice commands with speech-to-text conversion.

📌 Live Market Visualization

Interactive charts powered by TradingView for market analysis.

📌 Responsive UI

Modern and fully responsive interface built using React, Next.js, and Tailwind CSS.


⚙️ Installation

Clone the repository

git clone <your-repository-url>
cd market-mentor

About

AI-powered financial assistant that delivers real-time market insights through an interactive chatbot using Groq and Llama3-70B. Features live TradingView charts, voice-based queries, and a responsive UI built with React, Next.js, and TypeScript.

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