BIT Study Buddy

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  Welcome screen — describe your week and get a study plan back. 100% simulated, runs offline in your browser.

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  Describing a week in plain language auto-generates a weekly plan — sessions spread across days, color-coded by priority.

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  Add a study session manually, or edit/complete/delete any generated session — fully editable, all stored locally.

Inspiration

As a BIT (IT) undergraduate, I'm constantly juggling multiple subjects, assignments, and exam dates — and I often lose track of how to split my limited free time across them. I wanted to see what a simple, honest "study assistant" would look like for the Alexa+ simulated-experience track: no real AI model, no AWS, no paid services — just plain, transparent logic that any student could read and trust.

What it does

BIT Study Buddy lets a student describe their week in plain language — available hours, subjects, and deadlines — in a chat-style box. The app parses that message with simple, readable JavaScript rules (not a real AI model) and lays out a weekly study plan, spread across the days of the week, with each session marked by priority. From there, a student can mark sessions complete, edit them, delete them, or add new ones by hand. Everything is saved locally in the browser — no account, no server, and no cost.

The app is explicit on-screen that it is a simulated assistant: it does not connect to Alexa+, Amazon, or any Amazon device or service.

How I built it

Plain HTML, CSS, and JavaScript — no frameworks, no build tools, no paid APIs. The "understanding" step is a small rule-based text parser (keyword and pattern matching) that extracts subjects, hours, and priority signals from what the student types. The weekly plan is rendered as a day-by-day grid, with subjects colour-coded automatically so sessions are easy to tell apart at a glance. All data persists in the browser's localStorage, so a plan survives a page reload with nothing to install or sign into.

Challenges I ran into

This is my first hackathon, so most of the challenge was process, not just code: understanding Devpost's submission flow, making sure the "simulated experience" approach genuinely fit the Alexa+ track's rules, and recording and uploading a demo video for the first time. On the code side, the trickiest part was the text-parsing logic — getting it to correctly split a sentence into clean subject names without picking up stray words like "high priority" as a subject.

Accomplishments that I'm proud of

Shipping a complete, polished, end-to-end working app — solo, as a first-time hackathon participant — with zero cost and zero external dependencies. I'm also proud of how transparent the app is about what it actually is, rather than overstating its capabilities.

What I learned

How to scope a hackathon project realistically for a solo first-timer, how Devpost submissions actually work from registration to video to final submission, and a lot about writing small rule-based parsers that behave predictably.

What's next for BIT Study Buddy

Smarter parsing of natural language requests, a calendar/export view, and optional reminders — still kept fully free and offline.

Built With

• css
• html
• javascript
• localstorage