BrainiFi
Project Overview
BrainiFi is an AI-powered study assistant that transforms PDF study materials into interactive learning experiences. The platform leverages advanced AI to generate intelligent questions from uploaded documents, helping students study more efficiently through active recall and spaced repetition techniques.
As the lead developer on this project, I designed and implemented both the frontend and backend components, creating a seamless user experience that makes studying more engaging and effective.
Challenges & Solutions
PDF Document Processing
Extracting and processing text from various PDF formats with different layouts, fonts, and structures presented significant challenges.
Solution: I implemented a robust PDF processing pipeline using PyPDF2 and custom text extraction algorithms that handle various document structures, preserve formatting where relevant, and organize content for effective question generation.
Intelligent Question Generation
Creating meaningful, context-aware questions that test understanding rather than simple recall required sophisticated NLP approaches.
Solution: I developed a question generation system using Google's Generative AI that analyzes document structure, identifies key concepts, and generates diverse question types (multiple choice, short answer, fill-in-the-blank) with appropriate difficulty levels based on the content's complexity.
Real-time Answer Validation
Providing immediate, helpful feedback on free-form answers while accommodating various correct phrasings was particularly challenging.
Solution: I implemented a semantic matching algorithm that evaluates answer correctness beyond simple string matching, providing nuanced feedback that helps users understand why their answers were correct or incorrect.
Features & Functionality
- PDF Document Analysis: Upload and process PDF study materials with automatic content extraction and organization
- AI-Powered Question Generation: Automatically generate various question types to test understanding
- Multiple Study Modes: Quick Review, Deep Study, Revision, and Test Prep options
- Adaptive Learning: Questions adjust based on user performance and learning patterns
- Progress Analytics: Detailed insights into learning progress with visual dashboards
- Modern, Responsive UI: Built with React, TypeScript, and Tailwind CSS for an optimal experience across devices
Key Learnings
Developing BrainiFi expanded my expertise in several technical domains:
- Building full-stack applications with React, TypeScript, and FastAPI
- Implementing advanced PDF processing techniques
- Designing and optimizing prompt engineering for generative AI applications
- Creating adaptive learning algorithms that respond to user performance
- Developing responsive, accessible user interfaces with Tailwind CSS and Framer Motion
The project also reinforced the importance of user-centered design in educational technology, where the interface must be intuitive enough to avoid distracting from the learning process itself.