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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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