Filmy

Filmy is a Django-based web application that helps users discover and explore Bollywood movies. It combines a searchable movie database with an AI-powered recommendation system using LLaMA 2 via Ollama.

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Features

• Browse and search through a curated Bollywood movie database.
• View detailed movie information with posters and trailers.
• AI Movie Recommender powered by LLaMA 2 – generates personalized Bollywood movie recommendations.
• Minimal, clean UI for a smooth experience.

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Tech Stack

• Backend: Django (Python)
• Frontend: HTML, TailwindCSS, Vanilla JS
• AI Integration: LLaMA 2 via Ollama
• Database: MySQL (with exportable movie.json for portabilityL)

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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 mysqlclient
   pip install requests
   

4. Database setup

• This project uses MySQL as the default database.
• Apply migrations:

  python manage.py migrate  

• Load movie data from the provided movie.json:

  python manage.py loaddata movie.json
  

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.