The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.

FOA is a modular AI-powered smart factory management platform designed to digitize and streamline maintenance operations, production monitoring, and resource planning for manufacturing units. It helps facilities reduce downtime, optimize costs, and enhance productivity through real-time analytics, automation, and predictive maintenance powered by AI and IoT integrations.

This project aims to develop a mobile application for pharmacists that utilizes OCR (Optical Character Recognition) to read handwritten prescriptions from uploaded images or camera captures. The extracted medication details will be matched with a database to provide accurate prescription information.