A chatbot developed for the VNU University of Engineering and Technology to support admission counseling and post-graduation guidance. The system leverages Agentic RAG for improved response accuracy. Contributed to UI/UX design, backend development with FastAPI, and the design of conversation flows to deliver reliable and precise answers to users.
Key Highlights
- Designed and developed a chatbot to support university admission counseling and post-graduation guidance.
- Integration with university admission data
- Implemented Agentic RAG approach to improve accuracy and relevance of responses.
- Contributed to UI/UX design to enhance user experience and accessibility.
- Built and maintained backend services with FastAPI for scalable and efficient performance.
- Collaborated on conversation flow design to deliver precise and reliable answers to users.
Technologies Used
TypeScriptReact (UI/UX)Machine LearningFastAPIRedisELK StackMinIOAgentic RAGLangChainMySQL
A modern, responsive portfolio website built with Next.js and TypeScript, featuring dark mode, smooth animations, and optimized performance.
Key Highlights
- Server-side rendering for optimal SEO
- Responsive design with mobile-first approach
- Dark/light theme toggle
- Smooth page transitions and animations
Technologies Used
Next.jsTypeScriptTailwind CSSFramer MotionVercel