Vidya x ai

Inspiration

We created VIDYA-X AI to make learning smarter and more personalized by helping students understand their course materials, identify weak topics, and study more effectively.

What it does

VIDYA-X AI provides course-based AI tutoring, source-cited answers, adaptive quizzes, personalized revision notes, flashcards, and study planning.

How we built it

We use HTML, CSS, and JavaScript for the frontend, Python and FastAPI for the backend, PostgreSQL with pgvector for knowledge retrieval, and AI-powered RAG for course-grounded answers.

Challenges we ran into

Our main challenges were processing different learning materials, maintaining accurate citations, generating reliable quizzes, and personalizing learning based on student performance.

Accomplishments that we're proud of

We designed an integrated learning platform that brings tutoring, practice, revision, and progress tracking into one workspace.

What we learned

We learned that effective AI tutoring requires reliable sources, accurate assessment, thoughtful personalization, and continuous evaluation.

What's next for Vidya-X AI

We aim to improve multimodal learning, strengthen answer accuracy, expand multilingual support, and evaluate the platform with real students.