📊 ML Financial Analysis

A web-based platform that provides fundamental analysis of companies using historical financial data, key ratios, and visualizations.

🔧 Features

Extracts and calculates key metrics like:
- ROE (Return on Equity)
- Sales & Profit growth (3Y, 5Y, 10Y)
Displays pros and cons from MySQL database
Clean UI with HTML + CSS
Metrics fetched from JSON files (per company)
Built using Python Flask

📁 Project Structure

ML_Financial_Analysis/
│
├── app/ # Flask routes and templates
    ├── static/
    ├── templates/
├── assets/ # CSS, images, etc.
├── metrics/ # Generated metric JSON files
├── raw_data/ # Raw company JSON input files
├── scripts/ # Python script for metrics extraction
├── insights/ # Visual outputs 
├── output/ # Optional export/output directory
├── .venv/ # Python virtual environment
├── main.py # Entry point for the app
├── app.py # (optional) if used to launch
└── README.md # You are here

🚀 Setup Instructions

1. Clone the repo:

git clone https://github.com/niyatipatel2005/Machine-Learning-based-Financial-Analysis.git
cd Machine-Learning-based-Financial-Analysis

2. Create and activate virtual environment (Windows):

python -m venv .venv
.venv\Scripts\activate

3. Install required packages:

pip install -r requirements.txt

4. Generate metrics:

python scripts/extract_metrics.py

5. Run the Flask app:

python app.py

Authors

Niyati Patel - https://github.com/niyatipatel2005

License

This project is licensed under the [NAME HERE] License - see the LICENSE.md file for details

niyatipatel2005/Machine-Learning-based-Financial-Analysis