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To do list
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Options to upload or organize assignments
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To do list with assignments organized by AI
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To do list with assignments organized by AI - Completed Assignments
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To do list with assignments organized by AI - Incomplete Assignments
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Questions for description of the assignment - Filled in
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Questions for description of the assignment
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Schedule 1 created by gpt3 ai.
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Schedule 2 created by gpt3 ai.
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Schedule 3 created by gpt3 ai.
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Data stored in firebase database.
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Adblocker to block of recreational sites while studying.
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Greeting Message on Starting Page
Inspiration
Study Stream was born out of our own struggles with managing assignments efficiently during intense academic periods. We envisioned a solution that not only organizes tasks but also optimizes study schedules for peak productivity and well-being.
What it does
Study Stream is your ultimate study companion! It's a web extension where you can input assignments, due dates, and their complexities. Powered by AI from OpenAI's ChatGPT, it intelligently generates personalized study schedules that include essential break times. It seamlessly integrates with Google Calendar for effortless schedule updates.
How we built it
We started by crafting a sleek and intuitive user interface using HTML, CSS, and JavaScript. Firebase was chosen for its robust real-time database to securely store and retrieve user data. Leveraging OpenAI's API, we implemented advanced natural language processing to craft effective study plans. A Python script automates updates to Google Calendar for hassle-free schedule management.
Challenges we ran into
- Integration Complexity: Ensuring smooth communication between Firebase, OpenAI API, and Google Calendar required meticulous debugging and optimization.
- User Experience: Balancing simplicity with powerful features to create an accessible yet comprehensive tool for all users.
- AI Model Refinement: Fine-tuning the AI model to generate accurate and actionable study schedules posed initial challenges in prompt formulation and response interpretation.
Accomplishments that we're proud of
- Seamless Integration: Successfully integrating multiple technologies into a cohesive platform that enhances study efficiency.
- User-Centric Design: Incorporating user feedback to refine features and improve usability, ensuring Study Stream meets diverse user needs.
- Scalability: Designing a scalable solution that allows for future enhancements and additional features based on user demand and technological advancements.
What we learned
- Technical Skills: Enhanced proficiency in front-end development, API integration, and firebase-based database management.
- User Engagement: Importance of iterative design and user feedback in creating a valuable, user-centric product.
- Project Management: Effective collaboration and time management were crucial in overcoming technical challenges and meeting project milestones.
What's next for Study Stream
Looking ahead, we plan to:
- Expand AI Capabilities: Integrate more advanced AI features for personalized study tips and adaptive learning strategies.
- Enhance Customization: Provide additional options for users to tailor schedules based on individual study preferences and habits.
- Mobile Accessibility: Develop a mobile version of Study Stream to extend accessibility and usability beyond desktop platforms.
- Community Building: Foster a supportive community around Study Stream to share best practices, study strategies, and feedback for continuous improvement.
Study Stream is poised to revolutionize how students manage their study schedules effectively, ensuring academic success while promoting a healthy work-life balance.
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