Our
Projects

This project presents an innovative way of searching and exploring data assets through natural language. It transforms traditional data search into a conversational experience, allowing users to query complex datasets using plain English.

The system uses advanced entity extraction and attention map techniques, which were also the focus of a research paper I published as part of this work. These components enable the model to understand the user’s intent, extract relevant entities from queries, and map them to the appropriate data sources for precise retrieval.

Beyond data asset search from database , the solution was further enhanced to interact even with CRMs and other enterprise systems, enabling a unified conversational interface across multiple data platforms.

Create an AI tool for healthcare providers that enhances diagnostic accuracy and patient care. This involves applying AI to medical imaging for better diagnosis and using predictive analytics for personalized treatment planning. The tool aids healthcare professionals in early detection of diseases and efficient treatment strategies.

Create an AI tool that automates the analysis of legal documents and ensures regulatory compliance for businesses. This technology streamlines legal research, contract analysis, and compliance monitoring, significantly reducing the time and effort involved in legal processes.

In this cutting-edge project, we've harnessed the power of the DALL-E model to develop a state-of-the-art system for image analysis and text extraction. This AI-driven solution is adept at interpreting and extracting text from images, as well as providing detailed insights about the visual content. Leveraging the capabilities of DALL-E, known for its exceptional image generation and understanding, our system goes beyond traditional OCR. It not only recognizes text in various fonts and languages but also comprehensively understands the context, objects, and scenarios depicted in the images.