Sonar: Stop Guessing. Start Knowing.

[cite_start]Sonar is an AI system that unlocks your team's hidden potential[cite: 3]. [cite_start]This project is a submission for the 3rd Hackathon in the SAP Corporate Challenge[cite: 5].

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🚀 The "Wasted Potential" Problem

[cite_start]Your best skills aren't on your CV[cite: 7]. [cite_start]They are "buried" in GitHub commits, "scattered" across project feedback, and "hidden" within LinkedIn posts[cite: 8].

For individuals, this is frustrating. [cite_start]For companies, it represents a massive waste of potential and millions in untapped productivity[cite: 9].

💡 The Solution: Meet Sonar

[cite_start]Sonar is an AI system that answers the question, "What am I truly good at?"[cite: 14].

[cite_start]It builds a dynamic, validated skill profile by connecting to the sources where real work happens, transforming scattered data into actionable intelligence[cite: 15].

✨ Core Features

[cite_start]Our system is built on an "Evidence Trail" that validates skills with proof[cite: 17].

1. [cite_start]Connect: Users link data sources like GitHub (for real-time repository analysis [cite: 31][cite_start]) and upload CVs (for professional experience validation [cite: 33]).
2. [cite_start]Aggregate: Our AI maps thousands of data points (e.g., "Project Management" and "project-mgmt") into a unified, standardized Skill Framework[cite: 22, 23].
3. [cite_start]Validate: Instead of just listing "Python," Sonar provides a Confidence Score and an Evidence Trail, showing exactly how and where proficiency was demonstrated[cite: 26].
4. [cite_start]Job Matcher: Instantly compares the validated skill profile against job requirements, identifying skill gaps and turning abstract potential into concrete career pathways[cite: 38].

🛠️ Tech Stack

• Frontend: Lovable.dev (generating React & Tailwind CSS)
• Backend: Python (FastAPI)
• Data & AI: Public GitHub API, PDF parsing, and a custom logic aggregation pipeline.

🏃‍♂️ How to Run (Local Setup)

Backend (Python/FastAPI)

1. Clone the repository:

   git clone [https://github.com/lucassgonz/sonar.git](https://github.com/lucassgonz/sonar.git)
   cd sonar/backend

2. Create a virtual environment and install dependencies:

   python -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

3. Run the server:

   uvicorn main:app --reload

   The server will be running on http://127.0.0.1:8000

Frontend (React/Lovable)

1. Navigate to the frontend folder:

   cd ../frontend

2. Install dependencies:

   npm install

3. Start the application:

   npm start

   The app will be accessible at http://localhost:3000

Demo Video

https://www.loom.com/share/9ffbb57d1df74f0b981e30e7beb6fa10

👥 The Team

• Abdul Rehman Afroze
• Lucas Gonzaga
• Imran Matin
• Ayanfeoluwa

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📄 License

This project is licensed under the MIT License.