README.md

---
title: Bioinformatics Classification
emoji: 🧬
colorFrom: blue
colorTo: green
sdk: docker
app_file: app.py
pinned: false
---

# 🧬 Bioinformatics Classification App

A Flask-based web application for genomic SNP classification and natural product analysis using machine learning.

## Features

- **SNP-based Classification** - Genomic sequence analysis and classification
- **ML Model Integration** - Scikit-learn Logistic Regression for predictions
- **BLAST Database Support** - Sequence alignment against pathway databases
- **Interactive Web UI** - Flask + HTML/CSS/JS frontend

## Quick Start

The application starts automatically. Just interact with the web interface!

## Project Structure

├── app.py # Main Flask application
├── best_model_LR.sav # Trained ML model
├── label_encoder.pkl # Feature encoder
├── pathway_db.* # BLAST sequence databases
├── static/ # CSS, JavaScript, images
├── templates/ # HTML templates
└── data/ # Reference data


## Model Details

- **Classifier:** Scikit-learn Logistic Regression
- **Input:** SNP features (genomic sequences)
- **Output:** Classification predictions
- **Framework:** Flask + Python 3.10

## API Endpoints

- `GET /` - Main web interface
- `POST /api/predict` - Make predictions
- `POST /api/upload` - Upload sequences
- `GET /api/results` - Retrieve results

## Author

**Snehazs** - Bioinformatics Researcher

## License

MIT License