TalentScout X

About the Project

TalentScout X was inspired by the challenge of finding quality technical talent in an increasingly competitive hiring landscape. We built an AI-powered talent discovery platform that searches X (Twitter) for candidates, analyzes them with Grok AI, and displays ranked results through an intuitive interface.

What We Learned

• Data Insights: Real-time social media data can provide valuable insights into candidate skills and expertise.
• AI Efficiency: AI-powered candidate scoring significantly improves recruitment efficiency.
• Scalability: Building modular, scalable architectures enables rapid feature development.
• UX Importance: Authentic UI/UX design (mimicking X.com's aesthetic) enhances user adoption.

How We Built It

The platform follows a modern full-stack architecture with a React frontend communicating with a FastAPI backend.

• Backend: Orchestrates X API v2 searches, processes candidate data through Grok AI for intelligent scoring, and persists everything using Prisma ORM with SQLite.
• Frontend: Provides an X.com-inspired interface with real-time candidate feeds, pipeline management, and messaging capabilities.

Challenges Faced

• API Constraints: Handling Twitter API rate limiting (processing only 20 of 100 found candidates).
• AI Integration: Implementing reliable AI scoring with Grok-3 integration.
• Design Accuracy: Creating responsive, Twitter-authentic UI components.
• State Management: Managing real-time data flow between multiple services.

Built With

• fastapi
• grokapi
• prisma
• python
• react
• sqlite
• typescript
• xapi