StudyDebt: Rewarding Academic Laziness with Open-Source AI and 10-Minute Micro-Sessions
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built: Every student and self-taught developer suffers from the same bad habit: hoarding hundreds of messy screenshots of lecture slides, textbook diagrams, code snippets, and whiteboard formulas with
Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 馃Ε
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
What I Built: Every student and self-taught developer suffers from the same bad habit: hoarding hundreds of messy screenshots of lecture slides, textbook diagrams, code snippets, and whiteboard formulas with the vague promise of "I'll study this later."
Over time, this backlog morphs into crushing "study debt"鈥攁n overwhelming pile of visual clutter that induces guilt, decision paralysis, and procrastination. Facing a 4-hour marathon cramming session feels exhausting, so we do nothing.
StudyDebt is a liquid-glass study recovery web application designed in the true spirit of International Sloth Day: it rewards your laziness by turning academic chaos into steady, low-effort micro-wins.
Instead of demanding hours of tedious note-taking, StudyDebt automates the friction:
"Have 10 Minutes?": You don't have to organize anything. Drag and drop your raw screenshots, and open-weight models distill them into a plain-English gist, core concepts, and a 10-minute micro-lesson with an interactive knowledge check. "Your Next Small Win": Eliminates decision fatigue entirely. You never have to figure out what to study; a recommendation engine analyzes your energy level (Low, Medium, High) and available time (5m, 10m, 15m, 25m) to serve up the single smallest, highest-leverage task. "Rebalance My Week": Took a 3-hour sloth nap or skipped your Tuesday study goal? StudyDebt never shames you or breaks your schedule. One click redistributes your pending tasks across the remaining days without punishing you or destroying completed work. Demo
馃寪 Live Web Application: https://trideep091.github.io/studydebt/ 馃捇 Open-Source Repository: https://github.com/Trideep091/studydebt
Key User Flows in Action: The Sloth Dashboard: Deep midnight navy aesthetic (#080B18) with frosted glass depth (backdrop-filter: blur(20px)), real-time study debt hour counter, and immediate 10-minute sprint recommendations. Screenshot Vault: Drop study slides in PNG, JPG, or WebP format. Open-weight vision & OCR pipelines extract equations and definitions into structured flashcard overviews.
Adaptive Focus Mode: Distraction-free countdown timer, interactive mid-session checkpoint questions, and confidence ratings that feed directly into a Leitner-style spaced repetition queue. Natural Language Weekly Planner: Type "I need to review Java memory allocation, finish linear algebra, and practice 2 SQL queries before Friday", and the AI balances the workload across your daily capacity meters. Code You can find the full source code on GitHub:
Small sessions. Steady progress. Less academic chaos.
StudyDebt is a creative, premium, liquid-glass-themed study recovery application designed to rescue students from academic chaos. It transforms forgotten piles of educational screenshots, lecture slides, and unstructured to-do lists into manageable, bite-sized study sessions and deadline-aware weekly plans.