🤖 AI Model Hub

Your Gateway to Machine Learning Excellence

A comprehensive full-stack web application featuring multiple AI/ML models for predictions, classifications, and intelligent analysis.

Features • Models • Installation • Tech Stack• Tech Stack • Contact

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📸 Preview

Main Dashboard

Model Interfaces

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🧠 Available Models

Model	Type	Task	Technology	Status
🩺 Cancer Prediction	Classification	Medical diagnosis prediction	RandomForest / XGBoost	✅ Active
🚗 Car Price Prediction	Regression	Vehicle valuation	RandomForest / XGBoost	✅ Active
🏠 House Price Prediction	Regression	Real estate valuation	RandomForest / XGBoost	✅ Active
🎓 Student Performance	Regression	Academic outcome prediction	RandomForest / XGBoost	✅ Active
🍷 Wine Quality Assessment	Classification	Wine quality grading	RandomForest / XGBoost	✅ Active
📧 Email Classification	NLP Classification	Spam/category detection	TensorFlow Transformers	✅ Active
📄 PDF Summarization	NLP Summarization	Document summarization	BART (facebook/bart-large-cnn)	✅ Pre-trained

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🚀 Installation

Prerequisites

• Python 3.9.13
• pip package manager
• Virtual environment (recommended)

Step-by-Step Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/ai-model-hub.git
cd ai-model-hub

2️⃣ Create Virtual Environment

python -m venv venv

3️⃣ Activate Virtual Environment

# Windows
venv\Scripts\activate

# macOS/Linux
source venv/bin/activate

4️⃣ Install Dependencies

pip install -r requirements.txt

⚠️ Important: Strictly follow the dependency versions specified in requirements.txt to ensure compatibility.

5️⃣ Run the Application

python app.py

6️⃣ Access the Application

Open your browser and navigate to: http://localhost:5000 <=== in here, actually, any available port that your local has.

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📦 Dependencies

Python==3.9.13
Flask==3.1.2
tensorflow==2.10.1
scikit-learn==1.6.1
pandas==2.3.3
numpy==1.26.4
matplotlib==3.9.4
seaborn==0.13.2
h5py==3.14.0
joblib==1.5.3
transformers==latest

💡 Note: These exact versions are required for optimal performance and compatibility.

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💻 Tech Stack

Frontend

Backend

Machine Learning & AI

Visualization

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🏗️ Architecture

AI_Model_Hub/
├── app.py                 # Flask application with route handlers
├── templates/             # HTML templates
│   ├── index.html        # Main landing page
│   ├── cancer.html       # Cancer prediction interface
│   ├── car.html          # Car price prediction
│   ├── house.html        # House price prediction
│   ├── student.html      # Student performance
│   ├── wine.html         # Wine quality assessment
│   ├── email.html        # Email classification
│   └── upload_pdf.html   # PDF summarization
├── static/
│   └── images/           # UI screenshots
├── deeplearning_models/  # Trained model files (.pkl, .h5)
├── supervised_models/    # Trained model files (.joblib)
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License

Copyright (c) 2024 Thonedra

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files...

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👨‍💻 Author

Thonedra

Passionate about AI/ML and building intelligent systems

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⭐ Show Your Support

If this project helped you, please consider giving it a ⭐️!

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📊 Project Statistics

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🌟 Built with passion for AI/ML excellence 🌟

Made with ❤️ by Thonedra