Overview

The project originated from a need to quickly understand different types of documents without manual review. It uses specialized AI prompts and structured output formats to deliver relevant insights based on whether the document is an academic paper, resume, or general document.

Technical Implementation

Core Architecture

• Next.js 13 with App Router for routing and SSR
• TypeScript for type safety
• Supabase for document storage and user management
• GPT-4 API for intelligent document analysis
• Tailwind CSS for responsive design

Document Processing

The application handles documents through a specialized pipeline:

1. Document Upload & Classification
2. Content Extraction & Parsing
3. AI Analysis with Type-Specific Prompts
4. Structured Data Generation
5. Interactive Result Rendering

Interesting Challenges

Creating consistent output formats while handling varying document types:

typescript
output = {
  "summary": "string",
  "keyTerms": [{ "term": "string", "explanation": "string" }],
  "mainConcepts": [{ "title": "string", "description": "string" }],
  "keyPoints": ["string"],
  "numericalData": [{ "value": "string", "context": "string", "significance": "string" }]
}

Features

Document Type Handling

• Academic Papers: Research components, methodology, findings
• Resumes: Professional experience, skills, qualifications
• General Documents: Comprehensive content summaries

User Interface

Clean, intuitive interface with:

• Drag & drop uploading
• Progress tracking
• Interactive results viewing
• Export capabilities

Data Management

• Secure document storage
• User authentication
• Previous summaries access
• Easy sharing options

Development Process

Key focuses during development:

1. Performance optimization for large documents
2. AI prompt refinement for accuracy
3. User interface responsiveness
4. Error handling and recovery
5. Security implementation

Future Development

Currently working on:

• Enhanced document type detection
• Additional export formats
• Collaborative features
• Custom analysis parameters
• Advanced sharing capabilities