About the Project
InsightPedia revolutionizes Wikipedia interaction using AI to search, analyze, and present information in digestible formats. It transforms vast knowledge into concise summaries while maintaining accuracy and relevance.
The platform features semantic search capabilities, AI summarization, and topic analysis tools that identify key concepts and relationships. Users can customize summary length and complexity to meet their specific needs.
Advanced features include comparative analysis between topics, historical context tracing, and reading level adaptation for different expertise levels. InsightPedia continuously evolves with regular updates to models and features based on user feedback.
Built With
Development Journey
InsightPedia was developed with Python backend, advanced language models, and sophisticated information retrieval systems. Key phases included:
Conceptualization (6 weeks): Analyzing user needs in Wikipedia consumption, creating product specifications and interactive prototypes for intuitive knowledge discovery.
AI Model Development (10 weeks): Building and fine-tuning models for semantic search and summarization with focus on factual accuracy and contextual relevance.
Backend Development (8 weeks): Creating data pipelines for Wikipedia content processing with performance optimization for real-time responses.
Testing ensured AI model accuracy across diverse knowledge domains and system stability under high user volumes.