TutorAI

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Inspiration

We were inspired by the high cost and time commitment that traditional tutoring often requires. Many students cannot afford consistent help or don't have time for scheduled sessions. We wanted to create a more accessible, self-paced, and affordable learning experience using modern AI technologies.

What it does

TutorAI is a web-based platform that helps students learn more effectively by combining:

AI-powered tutoring chat with Groq API
AI-generated quizzes on any topic with automatic grading
Learning analytics with personalized feedback
Guest access with 5 free chats, full access for registered users
Profile management, study schedule, and progress tracking

How we built it

We built TutorAI using bolt.new, which allowed our team to collaborate seamlessly in a cloud-based workspace. The frontend was developed with React + TypeScript + Vite, styled with Tailwind CSS, and the backend handled by Supabase (PostgreSQL + Auth). The AI features were integrated using the Groq API, known for being fast and free.

Challenges we ran into

Integrating and managing multiple AI providers in a modular way
Handling real-time chat UX and maintaining performance
Building an intuitive quiz generation and grading system
Designing a clean yet feature-rich UI for students and guests
Managing state and authentication between guest and logged-in sessions

Accomplishments that we're proud of

Built a full-stack tutoring app from scratch in under 3 weeks
Seamlessly integrated Groq API and modularized the code for future LLM additions
Delivered a fully functional and responsive user experience on web and mobile
Implemented automatic grading and weak area detection for quizzes
Successfully deployed the platform to Netlify with full Supabase backend support

What we learned

Improving team collaboration with GitHub and Netlify workflows
Efficient teamwork using bolt.new and GitHub
Real-world deployment with Supabase + Netlify for full-stack apps
How to work with LLM APIs like Groq to power dynamic educational content

What's next for TutorAI platform

Teacher & Contributor Integration: We aim to allow external educators or individuals to contribute knowledge or content to the platform, helping improve the AI tutoring experience and expanding the scope of learning.
Monetization Opportunities: Contributors can earn from their shared content or receive recognition.
Certification System: We're exploring ways to offer certificates or achievement badges to encourage continuous learning and motivate users.
More Personalized Learning Paths and adaptive quiz generation.