The first Flask version needed a simpler way to deploy and scale.
Rebuilt the app with Node.js on Netlify.
Syllabus-to-Success Engine
DeployedRole: Full-stack & AI developer
Timeline: 4 months (Feb 2026 - Jun 2026)
AI study plans and a tutor named Kai
Project overview
Syllabus-to-Success Engine turns a syllabus into a clear study plan using AI.
It includes an AI tutor named Kai to help students learn.
I built it twice. The first version used Flask. I then rebuilt it with Node.js on Netlify, using Groq and Llama-3.
Key features
- AI-generated study plans from a syllabus
- AI tutor named Kai for student questions
- Groq-powered Llama-3 integration for fast responses
- First version built with Flask
- Rebuilt with Node.js as serverless functions on Netlify
- Live demo hosted on PythonAnywhere
Challenges & solutions
Students needed help beyond a static plan.
Added an AI tutor named Kai, powered by Groq Llama-3.
AI replies needed to be fast enough for a chat-style tutor.
Used the Groq API to run Llama-3.
Implementation notes
Built first with Flask, then rebuilt with Node.js on Netlify using Groq and Llama-3.