This digital platform is designed for radiologists and imaging professionals, offering a secure and streamlined solution to convert faxed imaging request forms into structured digital data. By leveraging advanced AI for data extraction and processing, it simplifies the traditional fax-based workflow, enabling healthcare experts to review, update, and manage imaging protocols with ease. Operating within a fully HIPAA and PIPEDA-compliant environment, the platform addresses the unique challenges of medical imaging management, ensuring efficiency, accuracy, and enhanced patient care throughout the diagnostic process.
The client was looking to develop a solution to analyse human behaviour based on handwriting. The use case can provide a lot of information about an individual which can particularly be used by HR while conducting the recruitment drive. As a solution we have provided an AI-based solution where we have utilized Computer Vision to analyse the candidate’s handwriting. There were 17 matrices which were prepared and independently scored. The final score was the average of all the 17 matrices which were mapped to the psychologist inferences.
Law students often face challenges in effectively preparing for exams, particularly in mastering the skill of identifying and analysing legal issues within complex fact patterns. Traditional study methods may not provide the personalized feedback necessary for students to improve their issue-spotting abilities, leading to suboptimal exam performance. We developed a “Issue Spotting Essays” feature, a comprehensive tool designed to enhance students’ exam preparation.
The intent of the application is to create SOAP notes for the patient history by using chatGPT and a private knowledge base. The proprietary extension parses patient history from the patient management website and sends it to the backend API. The backend API receives the patient history and returns the generated SOAP notes to the client extension.
AI-Based Contact Center System is designed to address this need by providing a state-of-the-art platform that harnesses the power of advanced artificial intelligence. Our system offers a comprehensive suite of tools and features specifically crafted to enhance customer interactions across a range of industries, including Healthcare, Retail, Fintech, Real Estate, and more. By integrating sophisticated AI technologies, we enable contact centres to streamline operations, optimize performance, and deliver superior service. This solution combines real-time transcriptions, intelligent analysis, and interactive bots to create a seamless and efficient customer experience.
Our market research automation platform simplifies data collection, adapts surveys in real-time, and delivers instant, actionable insights. With scalable reporting and robust security, it streamlines research processes, reduces manual work, and ensures compliance, helping organizations make faster, data-driven decisions and stay competitive.
"Save Now, Buy Later" (SNBL) is a financial solution designed to help users build savings while earning rewards. The platform allows users to set up flexible savings plans through scheduled installments, lump-sum deposits, or round-up savings. In return, users receive cashback rewards, which are added to their savings and can be used toward future purchases.
For businesses, SNBL functions as a customer acquisition and retention tool. It integrates with existing sales channels to offer a predictable revenue stream and encourages brand loyalty. With plugins for WooCommerce and Zid, users can create branded wallets and deposit funds directly with participating merchants.
The nAia AI Fashion Tech Platform aims to revolutionize how users discover, visualize, and shop fashion online by merging artificial intelligence, 3D garment visualization, and e-commerce into one immersive ecosystem.
The MVP (Phase 1) focuses on building a scalable web platform that enables users to:
The ultimate goal is to deliver a personalized, data-driven, and sustainable digital fashion experience, empowering both users and designers. By leveraging AI styling intelligence, 3D visualization, and real-time engagement analytics, nAia bridges the gap between fashion creativity and cutting-edge technology positioning itself as the future of virtual fashion retail.
The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.
This system aims to: