This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend
What I Built
FriendFocus is a small AI-powered study planner I built for a friend who often feels overwhelmed when there is too much to study and too little time.
Instead of giving a generic timetable, FriendFocus takes a student's situation in natural language, such as:
“I have an exam tomorrow, 3 chapters to cover, and only 2 hours.”
It then uses Gemma 4 26B A4B IT to create a realistic, time-based study plan with focused study blocks, breaks, revision, and simple anti-procrastination advice.
I wanted to build something practical and small enough that a student could actually use it when they are stressed about an upcoming exam.
Demo
The generated plan includes focused study blocks, breaks, and final revision based on the available time.
🌐 Live Demo: https://friendfocus.netlify.app/
FriendFocus takes a student's current study situation and generates a realistic, personalized study plan using Gemma 4 26B A4B IT.
Try it yourself by entering a situation like:
“I have an exam tomorrow, 3 chapters to cover, and only 2 hours.”
Code
GitHub Repository: https://github.com/Komaltanu05/friendfocus
The repository contains the complete frontend, Netlify Function, and configuration used to run FriendFocus.
How I Built It
FriendFocus is built around Gemma 4 26B A4B IT (gemma-4-26b-a4b-it) as its open AI model.
Tech Stack
- React
- Vite
- TypeScript
- CSS
- Netlify Functions
- Google GenAI SDK
- Gemma 4 26B A4B IT
The frontend collects the student's situation and sends it as JSON to a Netlify serverless function.
The server-side function securely accesses the GEMINI_API_KEY environment variable and sends the request to Gemma. The generated response is then returned to the frontend and displayed as a structured study plan.
I also added timeout protection and response validation so that the application can handle slow model responses more gracefully.
The project was developed with AI-assisted coding, while the final application, prompts, integration, testing, and deployment were verified through the working project.
Why Does Open Innovation Matter?
Open innovation makes experimentation much more accessible.
For a small project like FriendFocus, I could take an open-weight model such as Gemma and build a focused application around a real problem instead of needing a large AI infrastructure or building a model from scratch.
It also makes learning more practical. I could experiment with the model, understand how the application communicates with it, and turn an idea into a working product that can be shared with others.
For me, open innovation means that a simple idea from a student can become a usable tool through accessible models, frameworks, and developer communities.
Prize Categories
- Gemma — FriendFocus is powered by Gemma 4 26B A4B IT.
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