✦ BlackSwan - Smart India Hackathon Winning App ✦

⌬ Smart India Hackathon 2024 Winner ⌬

BlackSwan is an AI-powered interview panel selection system developed for DRDO, India. It intelligently assigns interview panels for candidates based on a relevancy score generated by AI. The system matches a candidate’s required skills with the expertise of interviewers, ensuring an optimized selection process.

▪ Features ▪

× AI-based Relevancy Scoring: Matches candidates with the most suitable interviewers.
× Job & Candidate Listings: Displays open positions and candidates available for interviews.
× Interview Panel Management: Allows adding interviewers to a panel.
× Web Scraping of Experts: Fetches details of experienced professors from the internet for inclusion in the panel.
× Authentication System: Uses Shared Preferences for storing login tokens locally.
× API Integration: Connected with backend using the http package.

▪ Tech Stack ▪

× Frontend: Flutter
× Backend: Node.js (Express.js)
× Database: MongoDB
× AI Model: TensorFlow (for relevancy score computation)
× Web Scraping: BeautifulSoup
× Local Storage: Shared Preferences
× API Requests: HTTP package

▪ Screenshots ▪

     

▪ Installation & Setup ▪

1. Clone the repository:

   git clone https://github.com/om13rajpal/SIH-app.git
   cd blackswan

2. Install dependencies:

   flutter pub get

3. Run the app:

   flutter run

▪ License ▪

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

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Made with ⌁ by Team BlackSwan