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MyStudyMate

AI-Generated Study Schedules for Students

An open-source study scheduling tool that integrates with student calendars to generate personalized study plans, send notifications, and provide analytics powered by Gemini AI.

4 months
1 team members
Solo Developer & Maintainer

The Challenge

Students struggle to create realistic study schedules that account for their existing commitments, learning pace, and exam deadlines, often leading to last-minute cramming.

Manual study planning is time-consuming and ineffective

Existing tools don't integrate with student calendars

No AI assistance for intelligent time slot allocation

Lack of accountability and progress tracking

No peer support or collaborative study features

The Solution

MyStudyMate automatically generates optimized study schedules by analyzing calendar availability, exam dates, and subject difficulty, with built-in collaboration and progress tracking.

Key Features:

Gemini AI-powered study schedule generation

Calendar integration for intelligent free-time detection

Firebase push notifications for study session reminders

Progress analytics with study time vs. goals comparison

Peer-to-peer messaging for collaborative study sessions

Spaced repetition algorithm for exam preparation

Design & Development Process

Student Pain Point Research

2 weeks

Surveyed 100+ students about their study planning challenges and ideal features

AI Prompt Engineering

2 weeks

Designed Gemini prompts to generate realistic, achievable study schedules based on constraints

Calendar & Notification Integration

2 weeks

Built Firebase Cloud Messaging system for reliable cross-platform notifications

Open Source Development

12 weeks

Built platform publicly with community feedback and contributor onboarding documentation

Project Showcase

MyStudyMate screenshot 1
MyStudyMate screenshot 2
MyStudyMate screenshot 3
MyStudyMate screenshot 4

Technical Implementation

Open-source Next.js platform with Firebase backend and Gemini AI scheduling engine

Technologies Used:

Next.jsTailwind CSSMongoDBFirebaseGemini AIVercel

Key Challenges & Solutions:

AI schedule generation that respects real constraints

Iterative prompt engineering with constraint validation and fallback manual adjustment options

Cross-platform push notifications

Implemented Firebase Cloud Messaging with service worker for reliable web/mobile delivery

Real-time peer messaging at scale

Used Firebase Realtime Database with user presence detection and typing indicators

Results & Impact

450+
GitHub Stars
Community interest
800+
Active Users
Students using the platform
12K+
Study Hours
Logged by users
15
Contributors
Open source developers

User Feedback:

"MyStudyMate helped me ace my exams by actually sticking to a realistic schedule for the first time."

Zain AbbasEngineering Student

Key Learnings & Takeaways

1

Open-source success requires excellent documentation—contribution guide was key to growth

2

AI schedules must allow human override—students know their limits better than algorithms

3

Notification timing is critical—wrong schedules lead to immediate uninstalls

4

Community features drove retention more than AI—students want accountability partners

Interested in working together?

I'm always open to discussing new opportunities and exciting projects.

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