The problem
College students who want to study in groups fall back on scattered messenger chats and word of mouth: one chat for planning, another for notes, and session timings buried under hundreds of unrelated messages. Finding the right study partners — the same subject, a similar level, compatible timings — becomes luck rather than design, and planned sessions quietly die because nobody sends a reminder. The result is that group study, one of the most effective exam-prep methods, stays disorganized for most students. This project builds StudyCircle, an Android app that treats study groups as first-class citizens. Students create profiles with their subjects, skill levels, college and weekly availability. A rule-based matching engine scores every open group and surfaces the best fits as a ranked list with match percentages. Each group gets its own session scheduler — topic, date, time and venue — with local reminders, plus a dedicated chat thread so planning and discussion stay in one place. Everything is local-first: profiles, groups, sessions and chat work fully offline, with cloud sync designed as an optional extension.
Creates a profile with subjects, skill levels and availability, then joins groups.
Follow the working sequence
How it works
- The student creates a profile: name, college, subjects with a skill level for each, and weekly availability slots.
- The matching engine scores every open group — points for shared subjects, closer skill levels and overlapping availability — and ranks them by match percentage.
- The student filters by subject, level or college, opens a group to see its members, sessions and description, and taps Join.
- Any member schedules a session with a topic, date, time and venue or meet link; it appears on every member's Schedule screen.
- WorkManager fires a local notification before each session at the member's chosen lead time (default 15 minutes).
- Members coordinate in the group's chat thread; messages are stored locally in the Room database, newest first.
- The group admin (the creator) manages the member list and can edit or cancel sessions.
Tech stack:
- Kotlin
- Android SDK · Jetpack
- Room database
- WorkManager
- Material 3 UI components
- Navigation Component
- Gradle build system
- Git
| Parameter | Value |
|---|---|
| Minimum Android version | Android 8.0 (API 26) and above (design target) |
| Language | Kotlin |
| Installed app size | Approximately 12–18 MB (expected) |
| RAM | Approximately 2 GB minimum (expected) |
| Local database | Room (SQLite); approximately 5–10 MB for a year of typical use (expected) |
| Reminder lead time | Configurable 5–60 minutes; default 15 minutes |
| Default group capacity | 20 members (configurable) |
| Matching | Deterministic rule-based scoring formula |
| Chat history | Stored locally on device, newest first (design target) |
Project features
- [Student Profiles] Each student builds a profile with subjects, a per-subject skill level, college and weekly availability — the raw material the matching engine ranks every group against.
- [Rule-Based Subject Matching] Every open group is scored on shared subjects, level proximity and availability overlap, then ranked with a visible match percentage. The scoring is a deterministic, explainable formula with no black-box components, so the logic is fully viva-defensible.
- [Group Discovery and One-Tap Join] Browse and filter groups by subject, level and college; joining updates the member count and capacity bar instantly.
- [Session Scheduling with Reminders] Any member can schedule a session with a topic, date, time and venue or meet link; each session carries a toggleable local reminder fired through Android's WorkManager.
- [In-App Group Chat] Every group gets its own chat thread with sender names, timestamps and locally stored history — planning and discussion stay inside the app instead of scattering across messengers.
- [Create Your Own Group] Start a group in seconds: name, subject, level, member cap and meeting mode (in-person, online or both); it becomes discoverable to matching students immediately.
- [Unified Schedule View] All upcoming sessions across joined groups appear in one chronological schedule, so clashing timings are visible at a glance.
Optional customization (developed on request, not in the base build): Firebase real-time sync of groups and chat, Google sign-in, FCM push notifications, admin web panel.
What is included
- Complete Android source code in Kotlin
- Room database schema with seed data (sample students, groups, sessions)
- Matching-algorithm explanation document with the scoring formula worked through
- Step-by-step build and setup guide for Android Studio
- Debug APK for on-device demonstration
- Project report PDF (background, design, methodology, screens)
- PPT presentation for final review
- Viva Q&A preparation document
Limitations & prerequisites
- Groups, sessions and chat are local-first: without the optional Firebase backend, data does not sync across devices.
- The match score is a rule-based heuristic over subjects, levels and availability — it cannot infer latent preferences the way a learned system might.
- Reminder delivery timing depends on the device's battery-optimization settings; aggressive power savers can delay local notifications.
- Capacity limits and chat-history retention are configurable defaults, not stress-tested at large scale.
- The UI targets phones; tablet and landscape layouts are not part of the base build.
- The demo ships with sample student profiles — no real user data is included.
Frequently Asked Questions
Is this project suitable for a final-year project?
Yes. It suits Computer Science, IT and Computer Applications programs, demonstrating mobile UI design with Material 3, local database modeling with Room, a deterministic matching algorithm, background scheduling with WorkManager and chat UX — a complete, explainable system with plenty of viva depth.
Can this project be customized?
Yes. Common extensions include Firebase real-time sync so groups work across devices, Google sign-in, FCM push notifications, an admin web panel, per-session attendance tracking, and subject packs for other branches such as mechanical or E&TC. Colleges can also request their own branding and a custom subject list.
What is the main technology used?
Kotlin on Android with Jetpack libraries: Room for the local database, WorkManager for session reminders, Navigation Component for screen flow, and Material 3 for the UI. Matching is a deterministic scoring function with no black-box components, so every recommendation the app shows is fully explainable.
Does the app work without internet?
Yes. Profiles, group discovery, joining, session scheduling, reminders and chat are all local-first and work fully offline on the device. Internet is only needed for the optional cloud-sync extension, which is quoted as a separate customization — the base build never depends on it.
What are the main limitations?
Data stays on the device in the base build, so there is no cross-device sync; matching is rule-based rather than learned; reminder timing can vary with battery-optimization settings; and the UI is phone-only. Each point is documented in detail under Limitations.
What will I receive with the project?
The complete Kotlin source, Room schema with seed data, the matching-algorithm document, an Android Studio setup guide, a debug APK, the project report PDF, a review PPT and a viva Q&A document — everything needed to build, demo and defend the project.
Components & software requirements
- Kotlin
- Android SDK · Jetpack
- Room database
- WorkManager
- Material 3 UI components
- Navigation Component
- Gradle build system
- Git
Delivery information
Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.
Support terms
Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.
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