COMPASS AI is an innovative SaaS B2B solution designed to revolutionize career guidance in universities. This Spring Boot backend powers a platform that leverages generative AI to help prospective students find their ideal career paths.
AI Integration: Implemented generative AI (LLMs) using Spring AI for personalized career recommendations. Full-Stack Development: Solely responsible for end-to-end development, from concept to implementation. Multi-Tenancy: Designed a scalable architecture supporting multiple universities with customized interfaces. Security Focus: Implemented robust authentication and authorization using Spring Security.
Spring Web: RESTful API development Spring Data JPA: Efficient database operations Spring Security: Advanced authentication and authorization Spring AI: Seamless integration with Large Language Models MySQL: Reliable and scalable database management.
Client-Server Model: Developed a central Spring Boot server connecting to multiple React frontends, each customized for different universities. RESTful API: Designed and implemented a comprehensive API for managing university data, career information, and AI-driven recommendations. Database Design: Created an efficient schema to handle complex relationships between universities, careers, and student data.
AI-Powered Career Guidance: Integrated LLMs to provide personalized career recommendations based on student inputs. Dynamic Content Management: Implemented CRUD operations allowing university administrators to manage career and guidance information. Scalable Multi-Tenancy: Engineered the backend to support multiple universities, each with its unique data and user interface. Secure Authentication: Implemented JWT-based authentication and role-based access control.
Duration: Completed the core development in an intensive three-month period. Learning Curve: First-time implementation of AI in a production environment, showcasing ability to quickly adapt to new technologies. Problem-Solving: Overcame challenges in integrating AI models with traditional backend services. Continuous Improvement: Regularly refactored code to improve architecture and performance.
Comprehensive test suite implementation Containerization with Docker for easy deployment Cloud deployment on AWS for scalability Integration with more advanced AI models for enhanced career predictions
Successfully presented as the final project for Software Analyst certification. Demonstrated proficiency in full-stack development, AI integration, and software architecture.
Ignacio Garcia - ignaciongarcia00@gmail.com - Linkedin: linkedin.com/in/ignaciongarcia00
