Back to Projects
ZerobiasAI
AI-Powered Recruitment Platform
ReactTypeScriptPythonFastAPIPostgreSQLOpenAI GPT-4AWS
Overview
Founded and built ZerobiasAI - an AI-powered recruitment platform that transforms how companies hire by eliminating bias and automating the interview process. The platform uses advanced AI to conduct intelligent interviews, assess candidates objectively, and provide data-driven hiring recommendations.
The Challenge
Traditional hiring processes are time-consuming, expensive, and often biased. Companies struggle with:
- Manual screening of hundreds of resumes
- Inconsistent interview experiences across candidates
- Unconscious bias affecting hiring decisions
- Lack of data-driven insights in recruitment
The Solution
Three Specialized AI Interviewers
- Noddy: Handles initial screening and background verification
- Cora: Conducts technical assessments with adaptive questioning
- Aris: Evaluates behavioral traits and cultural fit
Key Features
- Intelligent Resume Analysis: AI-powered parsing and job matching
- Real-time Interview Proctoring: Computer vision for integrity monitoring
- Adaptive Questioning: Dynamic questions based on responses
- Comprehensive Analytics: Data-driven candidate insights
- Multi-tenant Architecture: Enterprise-ready SaaS platform
Technical Implementation
Frontend
- React 18 with TypeScript for type-safe development
- Vite for optimized build performance
- Tailwind CSS for responsive design
- WebSocket integration for real-time features
Backend
- FastAPI for high-performance async APIs
- PostgreSQL with optimized database queries
- JWT authentication with role-based access
- AWS infrastructure for scalability
AI Integration
- OpenAI GPT-4 for natural language processing
- Custom prompt engineering for specialized behaviors
- Real-time response streaming
- Context-aware conversation management
Results & Impact
4x
Faster candidate screening
300ms
Average API response time
30min
Average interview duration
70%
Cost reduction per hire
Key Learnings
- AI Optimization: Implemented caching and prompt optimization to reduce API costs significantly
- Scalability: Designed microservices architecture to handle enterprise load
- User Experience: Iterative feedback led to intuitive interface improvements
- Security: Implemented GDPR compliance and enterprise-grade security
Technologies Used
React 18TypeScriptPythonFastAPIPostgreSQLRedisOpenAI APIAWS EC2AWS S3DockerGitHub ActionsWebSockets