Inspiration
As college students, we often struggle to balance assignments, exams, work, and personal responsibilities. We realized that students usually know what they need to do, but not what to prioritize first. We built Fit & Focus AI to turn academic stress into clear action plans using AI-powered study planning, risk analysis, and productivity recommendations.
What it does
Fit & Focus AI is an AI-powered student success platform that helps students organize deadlines, generate personalized study plans, assess academic risk levels, create Pomodoro schedules, and track productivity. Students enter assignments and deadlines, and the system generates actionable recommendations that can be stored and shared through Discord.
How we built it
We built Fit & Focus AI using: Next.js and TypeScript for the frontend FastAPI and Python for the backend Google Gemini for AI-powered recommendations Tiger Data (PostgreSQL) for storing study plans and analytics data Discord Webhooks for notifications Cursor AI to accelerate development and prototyping The system processes assignment data, sends it to Gemini, stores structured results in Tiger Data, and displays insights through a dashboard.
Challenges we ran into
Defining a realistic MVP that could be built within a hackathon timeframe Designing a data model that supports future analytics instead of storing only plain text AI responses Creating structured AI outputs that can be reused by dashboards and future features Balancing productivity, wellness, and academic planning in a single user experience Integrating multiple technologies including Gemini, FastAPI, Tiger Data, and Discord services
Accomplishments that we're proud of
Built an end-to-end AI workflow from assignment input to study plan generation Designed a scalable architecture that supports future analytics and student success features Integrated AI-powered risk analysis and productivity recommendation Created a system that combines academic planning and wellness support in one platform Developed a project with strong potential for real-world student impact beyond the hackathon
What we learned
Throughout this project, we learned how to: Convert business requirements into system architecture Design APIs and data models before coding Work with AI-generated structured JSON responses Build scalable solutions using modern cloud technologies Focus on solving a real user problem instead of adding unnecessary features Most importantly, we learned that successful AI products deliver actionable outcomes rather than simply generating text
What's next for Fit & Focus AI
Future plans include: Calendar integration Student account management Learning analytics dashboards AI-powered GPA prediction Mobile application support University and LMS integrations Enhanced productivity tracking and academic coaching Our vision is to evolve Fit & Focus AI from a hackathon project into a comprehensive AI-powered student success platform that helps students stay focused, healthy, and academically successfu
Built With
- ai
- api
- css
- cursor
- discord
- edtech
- fastapi
- gemini
- github
- learning
- machine
- next.js
- postgresql
- productivity
- python
- react
- render
- rest
- tiger
- typescript
- vercel
