I developed Visus.ai, an AI-powered document analysis and knowledge retrieval system. This application allows users to train a custom AI model on their own documents and knowledge base, creating a personalized assistant that understands natural language queries and provides accurate, context-aware responses.

Key features I implemented include:

Document ingestion and processing: The system efficiently handles various document formats, extracting and organizing information.

AI model training: I developed algorithms to train the AI on user-specific content, ensuring personalized and relevant outputs.

Natural language understanding: I integrated advanced NLP techniques to interpret user queries accurately.

Intelligent information retrieval: The system quickly searches through vast amounts of data to provide precise answers and insights.

User-friendly interface: I designed an intuitive UI/UX for easy interaction with the AI assistant.

Customization options: Users can fine-tune the AI's behavior to suit their specific needs and preferences.

Scalability: The application is built to handle growing datasets and increasing user demands.

This project required expertise in machine learning, natural language processing, database management, and full-stack development. It demonstrates my ability to create complex, AI-driven applications that solve real-world information management challenges.