Mentor Matching Platform

📌 Overview

The Mentor Matching Platform is an AI-powered web application designed to streamline the mentor-mentee pairing process. It uses a similarity-based matching algorithm to connect club members with suitable mentors based on their project requirements, interests, and expertise.

🚀 Features

• One-to-One and One-to-Many Matching: Users can choose between single mentor-mentee pairings or group mentor assignments.
• Streamlit Frontend: Interactive forms for data input and displaying match results.
• AI-Driven Matching Algorithm: Utilizes similarity scoring and NLP-based techniques for better mentor-mentee alignment.
• Database Integration: Uses SQLite or Pandas for efficient data storage and retrieval.
• User-Friendly UI: Simple and intuitive interface for seamless interaction.

🛠️ Technologies Used

• Frontend: Streamlit
• Backend: Python (Pandas, NumPy, SQLite)
• NLP: NLTK or TextBlob (for text-based profile matching)
• Data Storage: SQLite/Pandas

🏗️ Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/advika31/mentormatching.git
cd mentormatching

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

streamlit run app.py

📌 How It Works

1. Users fill out a form specifying their project details, skills, and preferences.
2. The matching algorithm computes similarity scores between mentees and available mentors.
3. The best-matched mentors are displayed, allowing users to finalize their selections.
4. The results are stored and can be retrieved for future reference.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.

📬 Contact

For any queries or suggestions, reach out via LinkedIn or open an issue on GitHub.