🚀 CollabMate

CollabMate is a web platform that helps developers find mentors and collaborators based on specific skills.
Instead of manually searching across different platforms, users can simply search for a skill and discover experienced professionals instantly.

The platform connects beginners with experienced developers through their LinkedIn profiles, making mentorship discovery simple and accessible.

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✨ Features

• 🔍 Skill-based mentor search
• 💼 LinkedIn profile discovery
• 🎨 Clean and modern UI/UX
• 🔐 Secure user authentication using Firebase
• ⚡ Real-time mentor results using SerpAPI
• 📱 Responsive design for better user experience

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🛠 Tech Stack

Frontend

• HTML
• CSS
• JavaScript

Backend

• Python
• Flask

Authentication

• Firebase Authentication

API

• SerpAPI (LinkedIn profile search)

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⚙️ How It Works

1. Users create an account or log in.
2. After logging in, they enter a skill (for example: Python, React, UI/UX).
3. The platform searches for professionals with that skill.
4. Results display LinkedIn profiles of developers who match the search.
5. Users can directly connect with them via LinkedIn.

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📂 Project Structure

CollabMate/
│
├── static/
│   ├── css/
│   ├── js/
│   └── firebase/
│   └── image/   
├── templates/
│   ├── index.html
│   ├── login.html
│   ├── register.html
│   ├── dashboard.html
│   └── results.html
│
├── app.py
└── README.md

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💻 Installation

Clone the repository

git clone https://github.com/your-username/collabmate.git

Move into the project folder

cd collabmate

Install dependencies

pip install flask serpapi

Run the application

python app.py

Open in browser

http://127.0.0.1:5000

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🚀 Future Improvements

• Show real LinkedIn profile images
• AI-powered mentor recommendations
• Messaging system for mentors and developers
• Advanced skill filtering
• Profile verification system

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👨‍💻 Author

Anand Kumar Patel

Passionate developer interested in Web Development, Artificial Intelligence, and Data Science.
Always exploring new technologies and building projects that solve real-world problems.

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⭐ If you like this project, consider giving it a star on GitHub!