Browsing by Author "Nusrat Jahan"

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    Dementiacare; health monitoring and productivity
    (AIKTC, 2023-05) Nusrat Jahan; Rathod, Pooja (19CO06); Sayed, Zahra (19CO07); Ansari, Azad (19CO14); Khan, Haarish (19CO18)
    Dementia is a neurocognitive disease that affects millions of people worldwide, and the number of patients is expected to increase significantly in the coming years. In response to this growing problem, the DementiaCare application has been developed to help patients and caregivers manage the disease more effectively. The app includes features such as a personal diary, contact lists, reminders for medications and daily activities, and games to improve productivity. One of the key features of the app is the ability to track the live location of patients and provide emergency contact information for their family members. Early detection of dementia is also critical, and the app includes a system for detecting dementia at an early stage. Engaging in meaningful activities is an effective way to improve the quality of life for dementia patients, and the DementiaCare app is designed to identify and customize these activities for each individual patient.
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    Voice controlled e-commerce
    (AIKTC, 2023-05) Nusrat Jahan; Mapari, Simran (19CO04); Shaikh, Alfiya (19CO62); Aga, Fiza (20DCO01); Patil, Aditi (20DCO07)
    This project aims to develop a voice-controlled e-commerce platform that enables users to shop for products using voice commands. The project utilizes modern natural language processing and voice recognition technologies to enable seamless interaction between users and the platform. The platform is designed to enhance the shopping experience by making it more convenient and accessible. The report outlines the development process, including the technology stack used, the system architecture, and the user interface design. Additionally, the report evaluates the system’s performance and user experience, identifying key challenges and future directions for platform improvement. The project highlights the potential of voice-controlled e-commerce platforms in revolutionizing the way people shop online and demonstrates the importance of incorporating cutting-edge technologies in creating an efficient and user-friendly shopping experience. The main objective of this project is to develop a web application where a voice assistant is integrated using Alan AI to present a voice-controlled commodity purchase as per the user’s request.