Ramya Sai Challa

Posted on Oct 4

🔒 FocusLock AI — An AI-Powered Study Focus Planner

#devchallenge #weekendchallenge #hf26challenge #gemma

Hacktoberfest: Maintainer Spotlight

What I built

I built FocusLock AI, a simple AI-powered study productivity tool designed to help students stay focused while studying or coding.

👩‍💻 Who I built it for

I built FocusLock AI for a friend who often gets distracted while studying and coding.

They wanted a simple way to decide what to work on, stay focused for a specific amount of time, and avoid common distractions without needing a complicated productivity system.

So I built FocusLock AI around that problem: give it a goal and a time limit, get an AI-generated focus plan, and then work through the session using the built-in timer.

The idea came from a common problem: while working on an important task, it is very easy to get distracted by social media, messaging platforms, and unrelated websites.

FocusLock AI combines an open-weight Gemma model with a focus timer to create a simple structured study session.

🤖 How AI is used

FocusLock AI uses the Gemma open-weight AI model to generate a personalized focus plan.

The user provides:

A study or coding goal
The amount of available time

Gemma then generates:

A practical study approach
Specific tasks to complete
Useful learning resources

For example, a user can enter:

Learn Python Lists and solve coding problems

and receive an AI-generated plan containing specific Python practice tasks and useful learning resources.

✨ Features

🤖 AI-generated study plans
⏱️ Custom focus timer
⏸️ Pause and resume
🛑 Stop session
🔒 Focus environment
📚 Allowed study resources
🚫 Common distractions
🎉 Session completion notification

🛠️ Technologies

Python
Flask
HTML
CSS
JavaScript
Gemma
Google Gen AI SDK

🔄 How it works

Study Goal + Duration
        ↓
     Gemma AI
        ↓
    Focus Plan
        ↓
   Start Session
        ↓
    Focus Timer
        ↓
 Session Completed

📸 Demo

Here is FocusLock AI running with an AI-generated focus plan and focus timer.

🌱 Why open innovation matters

Open-weight AI models make it possible for students and independent developers to experiment with AI and build useful applications without having to train an AI model from scratch.

For me, this project was an opportunity to learn how an open-weight AI model can be connected to a real web application and used to solve a simple everyday problem.

I also wanted to keep the project accessible and understandable rather than making it unnecessarily complex.

🔗 Project

GitHub: https://github.com/Ramyasaichalla/FocusLock-AI

🚀 Future improvements

Some ideas I may explore in the future include:

Browser-based distraction blocking
Study progress tracking
Personalized study history
More AI-generated study strategies
Local AI inference

🙌 What I learned

While building FocusLock AI, I learned how to:

Build a Flask web application
Connect an AI model to a web application
Send user input to an AI model
Display AI-generated results in the frontend
Build a JavaScript focus timer
Use Git and GitHub to manage and publish a project
Keep API credentials secure using environment variables

Built for Hacktoberfest 2026 💙

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