Enhanced Research Assistant

AI-Powered Research Companion for Modern Academics

๐ŸŽ“ Educational Purpose Only: This project is created for educational purposes to demonstrate AI model integration, research workflow automation, and modern software development practices.
Gradio 4.0.0 Python 3.10 15+ AI Models
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Paper Discovery

Multi-source paper recommendations from Semantic Scholar, arXiv, and citation networks with intelligent relevance scoring.

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AI Analysis

15+ AI models including GPT-4, Claude, Gemini, and open-source alternatives for intelligent paper analysis.

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Citation Analysis

Comprehensive citation metrics, impact scoring, and citation velocity tracking for research assessment.

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Reading Management

Organize reading lists, take notes, track progress, and export to multiple formats (Markdown, JSON, BibTeX).

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A/B Testing

Compare AI model performance side-by-side, track preferences, and get personalized recommendations.

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Cost Optimization

Automatic model selection based on budget preferences with free, balanced, and quality tiers.

๐ŸŽฏ Why Enhanced Research Assistant?

Modern research requires managing overwhelming amounts of literature while extracting meaningful insights. The Enhanced Research Assistant combines AI-powered analysis with practical workflow management to help researchers:

  • Discover Relevant Papers - Multi-source recommendations with intelligent ranking
  • Analyze Efficiently - AI-powered summarization and insight extraction
  • Manage Workflow - Reading lists, notes, and progress tracking
  • Optimize Costs - Smart model selection and A/B testing
  • Collaborate Easily - Export and share in standard formats

๐Ÿ“Š Platform Statistics

15+
AI Models
11
Feature Tabs
3
Export Formats
100%
Free to Use

๐Ÿš€ Quick Start

  1. Visit the live application
  2. Enter a paper ID or URL to get recommendations
  3. Add interesting papers to your reading list
  4. Configure AI models for analysis (optional)
  5. Use A/B testing to find your preferred models
  6. Export your reading list in your preferred format

๐Ÿ› ๏ธ Technology Stack

Frontend: Gradio 4.0.0, Python 3.10

AI/ML: OpenAI GPT-4, Anthropic Claude, Google Gemini, Hugging Face Models

Deployment: Hugging Face Spaces, GitHub Actions

Documentation: GitHub Pages, GitHub Wiki