Alxproject
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An AI-powered biostatistics learning tool that helps students understand complex concepts through simplified explanations, exam tips, and practice questions.
- Concept Explanations: Get clear, simplified explanations of biostatistics terms
- Exam Tips: Receive targeted study advice and key points to remember
- Sample Questions: Practice with relevant questions to test understanding
- Interactive Interface: Clean, student-friendly design for easy learning
├── backend/
│ └── index.ts # Main API server with OpenAI integration
├── frontend/
│ ├── index.html # Main application interface
│ ├── index.tsx # React frontend logic
│ └── style.css # Custom styling
├── shared/
│ └── types.ts # Shared TypeScript interfaces
└── README.md
- Enter any biostatistics term or concept
- Get instant AI-powered explanations
- Review exam tips and study strategies
- Practice with generated sample questions
- Backend: Hono + OpenAI API
- Frontend: React + TailwindCSS
- AI: GPT-4o-mini for concept explanations
- Styling: Custom CSS with gradient backgrounds and animations
GET /
- Main application interfacePOST /api/explain
- Get AI-powered explanations for biostatistics termsGET /api/health
- Health check endpointGET /frontend/*
- Static frontend assetsGET /shared/*
- Shared TypeScript types
- Clear, student-friendly explanations of complex biostatistics concepts
- Contextual examples and practical applications
- Structured responses for easy understanding
- Targeted exam tips for each concept
- Key points to remember for tests
- Study strategies and mnemonics
- Multiple choice and open-ended questions
- Detailed answer explanations
- Progressive difficulty levels
- Related concept suggestions
- One-click exploration of connected topics
- Comprehensive coverage of biostatistics curriculum
GET /
- Main application interfacePOST /api/explain
- Get AI-powered explanations for biostatistics conceptsGET /api/health
- Health check endpoint
Try these biostatistics terms:
- p-value
- Type I error
- Type II error
- Confidence interval
- Hypothesis testing
- ANOVA
- Chi-square test
- Sampling distribution
- Central limit theorem
- Statistical power