TalkUp.AI is an innovative artificial intelligence-powered platform designed to enhance communication and conversation skills. The project combines advanced AI technologies including speech-to-text, text-to-speech, emotional analysis, and behavioral analysis to provide users with comprehensive conversational training and feedback.
This project is developed as part of the Epitech Innovative Project (EIP) program, a two-year initiative spanning our 4th and 5th years at Epitech. The EIP challenges students to propose innovative solutions to real-world problems, encouraging entrepreneurial thinking and technical excellence.
Our team identified the critical need for effective communication training in professional environments and developed TalkUp.AI as a comprehensive AI-powered solution. The platform integrates multiple AI microservices to create a comprehensive solution for improving verbal and non-verbal communication skills.
TalkUp.AI addresses the growing need for effective communication training in both professional and personal contexts. By leveraging AI-powered analysis and feedback systems, the platform helps users:
- Improve their speaking confidence and clarity
- Receive real-time feedback on emotional delivery
- Analyze and enhance their communication patterns
- Practice conversations in a safe, AI-guided environment
TalkUp.AI is designed as a B2B solution, specifically targeting training and employment organizations as a comprehensive formation tool. Our platform serves:
- Pôle Emploi (France Travail): National employment agency
- Training Service Providers: Private formation companies
- Career Counseling Centers: Professional development organizations
- Corporate HR Departments: Employee skill development programs
For Training Organizations:
- Reduce formation time: Automated coaching reduces instructor workload
- Scalable training: Handle more candidates simultaneously
- Consistent quality: Standardized AI feedback ensures uniform training standards
- Cost efficiency: Lower per-candidate training costs
For End Users:
- Gain confidence: Practice in a judgment-free AI environment
- Improve employability: Enhanced communication skills increase job prospects
- Personalized learning: AI adapts to individual needs and progress
- Measurable progress: Track improvement with detailed analytics
For Employment Success:
- Higher placement rates: Better-prepared candidates perform better in interviews
- Reduced training cycles: Faster skill acquisition means quicker job readiness
- Improved retention: Confident employees stay longer in positions
The platform features a full-stack architecture with:
- Frontend: Modern React-based web application
- Backend: NestJS server with comprehensive API
- AI Core: C++ server managing multiple specialized microservices
- Microservices: Python-based analyzers for speech, emotion, and behavior
Click on profile pictures to visit team member profiles
For development guidelines, branching strategies, and contribution workflows, please refer to our CONTRIBUTING.MD file.
Our internal development documentation is available on : Confluence
The project follows a microservices architecture with:
- Web client for user interaction
- API server for business logic
- AI core server for orchestrating analysis services
- Specialized microservices for different types of analysis
Each component is containerized and can be deployed independently, ensuring scalability and maintainability.