Study Progress Tracker Application Development by VEDURUVADA SATYA SAYENDRANADHStudy Progress Tracker Application Development by VEDURUVADA SATYA SAYENDRANADH

Study Progress Tracker Application Development

VEDURUVADA SATYA SAYENDRANADH

Completed work

Software Engineer

Git

Python

React Native

Education

📚 Study Progress Tracker

A comprehensive desktop application for students to track their learning progress, take AI-generated exams, practice coding problems, and manage their study goals - all with an elegant Ubuntu-inspired interface.

✨ Features

🎯 Core Features

User Authentication: Secure registration and login system with password hashing

Topic Management: Create and track learning topics across different subjects

Smart Goals: Set and track learning goals with optional deadlines

Note Taking: Organize notes by topic with timestamps

Task Management: To-do list with priorities and due dates

Learning Streak: Track daily study activity with streak visualization

🎓 Advanced Learning Tools

AI-Powered Exams: Generate custom multiple-choice exams using AI

Offline template-based generation (no internet required)

Optional Ollama integration for advanced question generation

Configurable question count and difficulty levels

Detailed results with explanations

Coding Practice: LeetCode-style coding problems

Generate problems by topic and difficulty

Built-in code editor with syntax highlighting

Automated test case validation

Support for Python, JavaScript, and Bash

Code IDE: Integrated development environment

Write and execute code directly in the app

Real-time output display

Support for multiple programming languages

Save and manage code snippets

📊 Progress Tracking

Dashboard: Comprehensive overview of your learning journey

Grade Calculator: Calculate required scores for target grades

Visual Streak Calendar: 30-day activity visualization

Exam History: Track all completed exams and scores

Progress Reports: Subject-wise progress breakdown

🚀 Getting Started

Prerequisites

Python 3.8 or higher

pip (Python package installer)

Git

Installation

Clone the repository

Create a virtual environment (recommended)

Install required dependencies

Run the application

📦 Dependencies

Required Packages

Create a requirements.txt file with:

Optional Dependencies

For enhanced AI features (Ollama integration):

Install Ollama on your system

Pull the Mistral model: ollama pull mistral

🎨 User Interface

The application features a modern Ubuntu Radiance-inspired theme with:

Clean, minimalist design

Intuitive navigation

Color-coded sections for different features

Responsive layout

Smooth animations and transitions

Color Scheme

Primary: Ubuntu Orange (#e95420)

Secondary: Ubuntu Purple (#762572)

Success: Green (#38b44a)

Warning: Amber (#efb73e)

Error: Red (#df382c)

📖 Usage Guide

First Time Setup

Register an Account

Launch the application

Fill in the "Create Account" form

Minimum requirements:

Username: 3+ characters

Password: 6+ characters

Valid email address

Login

Enter your credentials

Click "Sign In"

Managing Topics

Navigate to "📚 Topics"

Add new topics with:

Topic name (e.g., "Python Functions")

Subject (e.g., "Programming")

Update progress (0-100%) as you learn

Track multiple topics across different subjects

Taking Exams

Go to "🎓 Exams"

Select a topic from your list

Configure:

Number of questions (5-30)

Difficulty (easy/medium/hard)

Click "Generate Exam"

Answer all questions

Submit and view detailed results

Coding Practice

Navigate to "⌨️ Coding Practice"

Generate a problem by topic

Write your solution in the editor

Run test cases to validate

View detailed results for each test

Code IDE

Go to "💻 Code IDE"

Write code in the editor

Click "Run Code" to execute

View output in the console

Save useful snippets for later

Setting Goals

Navigate to "🎯 Goals"

Add new goals with:

Goal description

Optional topic association

Optional target date

Toggle completion status

Track progress on dashboard

Task Management

Go to "✅ Tasks"

Add tasks with:

Task description

Due date (optional)

Priority (low/medium/high)

Toggle completion

Delete completed tasks

🗄️ Database Schema

The application uses SQLite with the following tables:

users: User accounts and credentials

subtopics: Learning topics and progress

goals: Learning goals and targets

notes: Study notes

exams: Generated exams and results

tasks: To-do items

code_snippets: Saved code

activity_streak: Daily activity tracking

practice_attempts: Coding practice history

🧠 AI Integration

Offline Mode (Default)

Template-based question generation

No internet required

Instant generation

Pre-configured problem sets

Ollama Integration (Optional)

Advanced AI-powered question generation

🔧 Configuration

Customizing AI Models

In offline_exam_generator.py:

In ollama_integration.py:

Database Location

By default, the database is stored as tracker.db in the project directory. To change:

In enhanced_database_manager.py:

📊 Project Structure

🎯 Key Features Explained

Exam Generation Algorithm

Selects appropriate question templates based on subject

Fills templates with topic-specific content

Adjusts difficulty by modifying question complexity

Shuffles answer options to prevent pattern recognition

Generates unique explanations for each answer

Streak Tracking System

Automatically tracks daily activity

Counts consecutive days of study

Displays 30-day activity calendar

Motivates consistent learning habits

Code Execution Safety

Runs code in temporary isolated files

5-second timeout limit

Captures both stdout and stderr

Automatic cleanup after execution

Supports multiple programming languages

🤝 Contributing

Contributions are welcome! Here's how you can help:

Fork the repository

Create a feature branch (git checkout -b feature/AmazingFeature)

Commit your changes (git commit -m 'Add some AmazingFeature')

Push to the branch (git push origin feature/AmazingFeature)

Open a Pull Request

Development Guidelines

Follow PEP 8 style guide for Python code

Add docstrings to all functions

Test new features thoroughly

Update documentation as needed

🐛 Known Issues

Code execution limited to Python, JavaScript, and Bash

Ollama integration requires local installation

Large transformer models may be slow on older hardware

🔮 Future Enhancements

Web-based version using Flask/Django

Mobile app (React Native/Flutter)

Cloud sync for multi-device access

Collaborative study groups

Spaced repetition flashcards

Export to PDF/Excel

More programming languages support

Voice notes integration

Calendar integration

Study analytics dashboard

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Your Name

GitHub: @yourusername

Email: sayendranadh2005@gmail.com

🙏 Acknowledgments

Ubuntu design team for color scheme inspiration

Ollama team for AI integration capabilities

Hugging Face for transformer models

The open-source community

⭐ Star History

If you find this project useful, please consider giving it a star on GitHub!

Happy Learning! 📚✨

Made with ❤️ for students everywhere

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