1. Research & Ideation

Before development began, I conducted thorough research to ensure Subject Wise would meet user needs and provide an innovative learning experience.

Understanding the Problem

• Identified common learning challenges like information overload, inefficient memorization techniques, and lack of engagement.
• Analyzed existing flashcard and learning platforms (Brainscape, Anki, Quizlet) to find gaps in adaptive learning.

Defining Goals

• Create an AI-driven adaptive learning system that personalizes study sessions.
• Implement spaced repetition for optimized knowledge retention.
• Ensure accessibility and engagement through an intuitive user experience.

2. UX/UI Design & Prototyping

Once the research was complete, we focused on designing a user-friendly interface that simplifies learning.

Wireframing & Prototyping

• Created low-fidelity wireframes to outline the basic structure of the platform.
• Designed high-fidelity prototypes using Figma, focusing on usability and accessibility.
• Conducted user testing with early designs to refine interactions.

Key Design Decisions

• Minimalist UI – Ensuring ease of use with a clean, distraction-free design.
• Dark & Light Mode – Customizable themes for extended study sessions.
• Seamless Navigation – Quick access to flashcards, analytics, and progress tracking.

3. Development & Implementation

With the designs finalized, we built Subject Wise using a MERN + GraphQL stack for efficiency and scalability.

Tech Stack

• Frontend: React.js, Redux, Apollo Client
• Backend: Node.js, Express.js, GraphQL
• Database: MongoDB (structured for topics, user progress, and spaced repetition)
• Auth: JWT for secure authentication

Key Development Highlights

• GraphQL API – Replaced REST for flexible and efficient data fetching.
• Spaced Repetition Logic – Smart scheduling of flashcards based on user performance.
• Adaptive Learning – Difficulty adjusts dynamically to optimize retention.
• State Management – Redux & Apollo Client for seamless UI updates.
• Testing & Optimization – Unit testing with Jest, API validation, and UI refinements.

By leveraging GraphQL, AI-driven learning, and structured data management, Subject Wise offers an intuitive and effective study tool.

4. Deployment & Future Enhancements

After successful development, we deployed Subject Wise with CI/CD pipelines for smooth updates.

Current Deployment

• Hosting: Deployed on cloud infrastructure for scalability & reliability.
• CI/CD Pipelines: Automated testing & deployment using Bitbucket Pipelines.

What’s Next?

• AI-Generated Flashcards from PDFs – Automatically extract questions from uploaded documents
• Gamification Elements – Streaks, achievements, and rewards to keep users engaged.
• Mobile App Version – Expanding to iOS & Android for on-the-go learning.

Final Thoughts

Building Subject Wise was a journey from identifying a need to delivering an AI-powered adaptive learning platform. Through research, design, and iterative development, we’ve created a tool that helps users study smarter, not harder.