TalentTrack - AI-Powered Job and Internship Platform

Team: Hackmasters
Hackathon: HackCelestial 1.0 (Team ID: HC27)

Project Overview

TalentTrack is an AI-driven platform designed to connect technical students with job and internship opportunities that match their skills and aspirations. Recruiters can leverage advanced AI-powered tools to efficiently filter candidates and communicate with them directly, making the hiring process seamless and effective.

Key Features

For Applicants:

• AI-driven Job Matching: Find jobs and internships based on your skills, career goals, and preferences.
• Profile Management: Easily update your profile to stand out and receive tailored job alerts.
• Job Application Dashboard: Track your applications and receive updates in one place.

For Recruiters:

• Job Postings: Create detailed job postings and find the best candidates.
• AI Filtering: Advanced algorithms help streamline the hiring process by filtering relevant candidates.
• Direct Communication: Integrated chat system for recruiter-initiated communication with applicants.

**Screenshots **

Technical Stack

Frontend:

• React.js for the user interface and dynamic job postings.

Backend:

• Node.js, Socket.io, and Express.js for building the API and managing server-side logic.

AI & Machine Learning:

• Google Vertex AI for job matching and candidate screening.
• TensorFlow for enhanced job-applicant filtering.

Database:

• PostgreSQL for secure data storage.
• Prisma ORM for managing database interactions.
• NeonDB for serverless and scalable database services.

Deployment & Infrastructure:

• AWS Lambda for serverless backend functions.
• Docker for consistent deployment across environments.
• BigQuery for advanced data analytics.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/TalentTrack.git

2. Navigate into the project directory:

   cd SkillConnect

3. Install dependencies:

   npm install

4. Set up the .env file with the necessary environment variables:

   touch .env

   • Add your database URL, API keys (e.g., Google Vertex AI, AWS Lambda), and other credentials.

5. Start the development server:

   npm run dev

6. Visit http://localhost:3000 to access the platform.

Usage

Recruiters:

1. Sign up and create job postings.
2. Use AI filtering to view relevant candidates.
3. Initiate communication with applicants via the integrated chat.

Applicants:

1. Sign up and create a profile.
2. View jobs and apply with your tailored resume.
3. Track your applications and receive job alerts.

Contributing

We welcome contributions to improve the platform! To contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch.
3. Commit your changes: git commit -m "Add new feature".
4. Push to the branch: git push origin feature-branch.
5. Open a Pull Request.

License

This project is licensed under the MIT License.