ML-Based Project Idea Generator for Developers

---

ML-Based Project Idea Generator is an interactive platform that recommends tailored machine learning project ideas based on user interests, project domain, difficulty level, and dataset type. It combines TF-IDF similarity for local recommendations with cloud LLMs (Anthropic API) to generate detailed project blueprints and advantages. Produces actionable learning resource suggestions, similar project lookups, and interactive visual insights using Plotly.

Features

• Project recommendations using TF-IDF similarity
• Filters for domain, difficulty, and dataset type
• Project blueprint generation
• Learning resource suggestions
• Similar project lookup
• Interactive charts with Plotly
• Optional AI-generated project advantages using Anthropic

Tech Stack

• Python
• Streamlit
• Pandas
• scikit-learn
• Plotly
• python-dotenv
• Anthropic API (optional)

Project Structure

idea_generator/
|-- app.py
|-- recommender.py
|-- learning_resources.py
|-- similarity.py
|-- dataset.csv
|-- generate_large_dataset.py
|-- requirements.txt
|-- .gitignore

Installation

1. Clone the repository:

git clone https://github.com/suresh4330/ml-based-project-idea-generator.git
cd ml-based-project-idea-generator

2. Create and activate a virtual environment:

python -m venv venv
venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Environment Variables

Create a .env file in the project folder if you want to enable Anthropic-powered AI advantages:

ANTHROPIC_API_KEY=your_api_key_here

This step is optional. The app still works without the API key by using static fallback content.

Run the App

streamlit run app.py

Then open the local Streamlit URL shown in the terminal.

Use Cases

• Find ML project ideas for a portfolio
• Explore projects by skill level
• Discover learning topics and useful resources
• Build stronger end-to-end ML project plans

Notes

• .env is excluded from Git for safety.
• __pycache__ and .pyc files are ignored.
• The dataset is stored locally in dataset.csv.

License

This project is available for personal and educational use.