AI-Driven Document Search: Enhancing Your Existing Video/Image Search Engine

A powerful search engine that can index and search across a variety of content types, including documents, images, videos, and chat conversations. The search engine would use deep learning models to understand the context of content, enabling users to find relevant results even when their queries are not exact matches.

Features:

• Support for a wide range of content types, including documents, images, videos, and chat conversations

• Deep learning models for understanding the context of content

• Ability to find relevant results even when queries are not exact matches

• Robust and comprehensive categorization system

• Automatic updates to index and search as new content is added

• User-configurable priority settings for cloud and local folders

Benefits:

• Improved search accuracy and relevance

• Increased productivity through faster and more efficient search

• Enhanced user experience through a more intuitive and natural search interface

• Reduced costs associated with manual content tagging and classification

Technical feasibility:

Codersarts AI has extensive experience in developing deep learning models for natural language processing and computer vision. We are confident that we can build a search engine that meets the client's requirements.