AI-powered back-to-school assistant

#devchallenge #herokuchallenge #webdev #ai

This is a submission for the Heroku "Back to School" AI Challenge

What I Built

I developed an AI-powered back-to-school assistant designed to simplify students’ transition into the new academic year. This multi-agent AI application helps students with personalized study planning, efficient schedule management, and collaborative tools for group projects. It not only supports students in staying organized but also empowers educators with classroom optimization features.

Demo

Check out the live application here: [Demo Link]

Source code is available at: GitHub Repo Link

How I Used Heroku AI

My app leverages Heroku’s Model Context Protocol (MCP) servers to coordinate AI agents that handle different tasks like personalized scheduling and academic reminders. I used Heroku Managed Inference and Agents for natural language understanding and real-time suggestions. pgvector on Heroku Postgres stores vector embeddings for quick and intelligent retrieval of user data, enhancing responsiveness and accuracy.

Technical Implementation

The app is built with a multi-agent architecture where each agent specializes in a particular function—study planning, collaboration, or resource recommendations. I integrated Heroku’s AI features seamlessly to enable smooth communication between agents. Key challenges included optimizing context switching among agents and ensuring responsiveness on mobile and desktop devices. Using Heroku’s scalable infrastructure ensured the application runs reliably under load.

Thanks for considering my submission! Looking forward to contributing to smarter, AI-powered back-to-school experiences.