Nov24 Study Calendar is an MVP of an AI-powered study planner aimed at assisting students in organizing their study schedules effectively. This project serves as a foundational prototype to explore the integration of AI in educational planning tools.

Features

• Demo Data Integration: Utilizes sample data to showcase potential functionalities.
• Basic User Interface: Provides a simple and intuitive interface for demonstration purposes.
• AI Planning Concept: Illustrates the concept of AI-generated study plans.

Tech Stack

• Frontend: Built with Next.js and TypeScript for a modern development experience.
• Styling: Implemented using Tailwind CSS for efficient and responsive design.
• Backend: Supabase is used for authentication and database management.
• AI Integration: Conceptual integration with AI planning tools.

Implementation

Frontend

• Next.js for server-side rendering and routing.
• TypeScript for type-safe code.
• Tailwind CSS for utility-first styling.

Backend

• Supabase for user authentication and data storage.

AI Integration

• Conceptual Framework: Lays the groundwork for future AI functionalities.

Deployment

• Hosted on Vercel for seamless deployment and scalability.

How It Works

1. User Interaction: Users can navigate the demo interface to understand potential features.
2. AI Planning Concept: Demonstrates how AI could be utilized to generate personalized study plans.

Challenges Faced

• Data Integration: Working with demo data to simulate real-world scenarios.
• AI Implementation: Planning for future integration of AI functionalities.

Future Enhancements

• Real Data Integration: Incorporate actual user data for personalized experiences.
• Advanced AI Features: Develop AI algorithms to generate and optimize study plans.
• User Feedback Loop: Implement mechanisms for users to provide feedback and improve the system.

This project is a work in progress, serving as a stepping stone toward a fully functional AI-powered study planner.