A Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and ask questions based on their content. It functions as an intelligent Q&A and research assistant, enabling contextual document search, semantic retrieval, and conversational interaction with uploaded files.

A lightweight Laravel package that simplifies searchable Eloquent models, reducing repetitive search logic for dashboards, CRUD systems, REST APIs, and generic application-wide searches.

A Retrieval-Augmented Generation (RAG) based AI assistant designed to provide intelligent support for restaurant customers. The system retrieves information from PDF and databases to answer queries accurately.

An AI-powered virtual clinic platform designed to detect abnormal lung and heart sounds through intelligent audio analysis. The system assists in the early detection of chronic and acute health conditions by enabling accessible and efficient patient monitoring at lower levels of care.

An AI-powered medical data annotation and virtual clinic platform designed to improve auscultation analysis for lung and heart sound recordings. Integrated with Whombat software, it enables secure and efficient labeling of clinical audio data, supports automated classification using AI models that assist in early detection of conditions, and significantly improves annotation efficiency for medical researchers.

A comprehensive Blood Bank Management System designed to streamline end-to-end blood operations including donor management, blood donation tracking, component separation, serology testing, cross-matching, inventory control, blood transfers, invoicing, accounting, and automated reporting. Built to ensure accuracy, traceability, and efficiency across all blood bank workflows.