Sentri is a zero-budget cross-platform student companion for Army Institute of Technology.

This repository is currently split into 3 working parts:

• app/: Expo React Native frontend for iPhone and Android
• backend/: Spring Boot API and timetable storage layer
• ml-worker/: Python OCR and timetable normalization worker

• timetable import from screenshots
• weekly Saturday prompt to refresh the next timetable
• clean home dashboard for now/next/today
• Myspace vault for saved screenshots, notes, and links
• calorie tracking shell
• hangout shell

The app should stay simple and cheap to run:

• Expo keeps one mobile codebase for both platforms
• Spring Boot handles the main API and persistence
• Python is used only where it helps most: OCR and deterministic parsing

• HLD: docs/system-design-hld.md
• LLD: docs/system-design-lld.md
• Home AI logic: docs/ai-logic-home-timetable.md
• Myspace AI logic: docs/ai-logic-myspace.md
• Myspace indexing pipeline: docs/myspace-indexing-pipeline.md
• Contribution workflow: CONTRIBUTING.md

• on-demand tab mounting in the mobile shell
• shared persisted state utilities with cached storage reads
• deferred Myspace search filtering
• shared mobile HTTP client with request timeouts
• backend indexes, cacheable read paths, and read-only transactions

• Node.js 16+ for frontend
• Java 17+ for backend
• Python 3.8+ for ML worker

cd app
npm start

cd backend
mvn spring-boot:run

cd ml-worker
python3 -m unittest discover -s tests

• The OCR worker now emits a payload shape that the Spring Boot backend can consume.
• The frontend is currently a polished shell for the main tabs and shared design system.
• The home flow now reflects the AIT reality that a fresh timetable arrives every Saturday for the next week.
• The Home upload action now opens the native image picker and creates a real timetable upload batch through Spring Boot.
• Full parser wiring still needs the backend worker step that turns the stored screenshot into parsed timetable entries.