InvestMentor

InvestMentor is a Django-based web application that helps users make smarter investment decisions.
It provides three main tools:

1. Investment Planner – Generate personalized investment allocations based on experience level and monthly savings.
2. Broker Comparison Tool – Compare Indian stock brokers across fees, reviews, UI, and support.
3. AI-Powered Learning Roadmap – Uses LLaMA 2 via Ollama to create customized investment learning roadmaps based on current and target knowledge levels.

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Features

• Modern TailwindCSS UI with responsive design.
• Interactive charts for investment allocation (Chart.js).
• Dynamic broker comparison with scoring system.
• AI integration with LLaMA 2 to generate structured learning plans.

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Tech Stack

• Backend: Django (Python)
• Frontend: HTML, TailwindCSS, Chart.js, Vanilla JS
• AI Integration: LLaMA 2 via Ollama
• Database: SQLite (default, can be switched to PostgreSQL/MySQL)

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Installation & Setup

1. Clone the repo

   git clone https://github.com/<your-username>/InvestMentor.git  
   cd InvestMentor
   

2. Setup virtual environment

   python -m venv venv # On Windows  
   source venv/bin/activate # On Mac/Linux  
   

3. Install dependencies

   pip install Django  
   pip install requests
   pip install chartjs
   

4. Run database migrations

   python manage.py migrate  
   

5. Start Django server

   python manage.py runserver   

• Now visit http://127.0.0.1:8000/

LLaMA 2 Integration (via Ollama)

The AI Roadmap Generator depends on Ollama to run LLaMA locally.

1. Install Ollama

• Download and install from Ollama.ai
• Verify installation:

  ollama --version
  

2. Pull the LLaMA 2 model

   ollama pull llama2
   

3. Run Ollama server

• In a separate terminal (before using roadmap):

  ollama run llama2
  

License

This project is open-source under the MIT License.