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APK ALLIES

1.Ganesh Dubey (Team Lead)

2.Mahek Pandey

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APP DEVELOPMENT

HEALTHCARE

(If your track is SDG mention which goals out of SDG 4, 11, 14, and 16)

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PROBLEM STATEMENT

Develop an Android app to support independent living for the elderly, addressing challenges such as falls, medication adherence, loneliness, and emergency situations. The app aims to enhance safety and well-being by integrating features like fall detection using device sensors, medication reminders with user-friendly interfaces, virtual companionship through AI interactions, and direct access to emergency services. This solution is crucial as it promotes autonomy, reduces risks associated with aging, and provides peace of mind for both elderly users and their caregivers, fostering a supportive environment for independent living.

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SakshamSevak (सक्षम सेवक)

Our proposed solution, "SakshamSevak," utilizes Kotlin and Android to develop an app supporting independent living among the elderly. It incorporates essential features like fall detection, medication reminders, virtual companionship, and emergency assistance. Fall detection uses device sensors to alert designated contacts with location details during emergencies. Medication reminders ensure adherence through user-friendly interfaces. Virtual companionship is provided by an AI chatbot for companionship and mental health support. Emergency assistance is facilitated with a one-touch button for immediate access to emergency services. The app is designed with a user-friendly interface, large icons, and intuitive navigation tailored for elderly users. Backend logic, managed with Kotlin, handles data storage, notifications, and sensor data processing. Integration with Google Maps and Firebase ensures reliable location services and secure cloud storage. Our solution aims to enhance safety, well-being, and autonomy for elderly users, fostering a supportive environment for independent living.

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RELEVANCE OF SakshamSevak

With medication reminders and health monitoring features, the app supports elderly users in managing their medications effectively. This helps prevent missed doses, promotes medication adherence, and contributes to better health outcomes.

Social and Emotional Well-being

Virtual companionship through an AI chatbot provides companionship and mental health support, combating feelings of loneliness and isolation commonly experienced by elderly individuals. This aspect of the app fosters social interaction and emotional well-being, promoting a positive quality of life.

The app addresses safety concerns among the elderly, particularly in emergencies like falls. By automatically detecting falls and alerting designated contacts with location details, it ensures prompt assistance, reducing risks associated with accidents and enhancing overall safety.

Health Management

Safety Enhancement

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IMPLEMENTATION DETAILS

"SakshamSevak" is an Android app developed in Kotlin to support independent living for elderly individuals. It integrates essential features such as fall detection, medication reminders, virtual companionship, and emergency assistance. Using smartphone sensors, the app detects falls and alerts emergency contacts with precise location details, ensuring swift assistance during emergencies. It simplifies medication management by offering personalized reminders for medication schedules, improving adherence and overall health outcomes.

The app also addresses social well-being through an AI-powered chatbot that provides companionship and mental health support. This feature engages users with personalized interactions and activities, mitigating loneliness commonly experienced by seniors. "SakshamSevak" is designed with a user-friendly interface, including large icons and intuitive navigation suitable for elderly users. Backend development in Kotlin ensures robust performance in data management, notifications, and sensor integration. Integration with Google Maps enables accurate location services, while Firebase ensures secure data storage and user privacy.

Overall, "SakshamSevak" aims to empower elderly individuals by enhancing their safety, health management, and social connectivity, promoting independence and improving their overall quality of life.

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SUMMARY

"SakshamSevak" is an Android app developed in Kotlin to support independent living for elderly individuals. It integrates features like fall detection using smartphone sensors for prompt emergency alerts with precise location details. The app facilitates medication management through personalized reminders, enhancing adherence and health outcomes. It addresses social well-being with an AI-powered chatbot for companionship and mental health support, combating loneliness. Designed with a user-friendly interface, including large icons and intuitive navigation, "SakshamSevak" ensures accessibility for elderly users. Backend development in Kotlin ensures robust performance in data management, notifications, and sensor integration. Integration with Google Maps provides accurate location services, while Firebase ensures secure data storage and user privacy. Overall, "SakshamSevak" aims to empower elderly individuals by promoting safety, health management, and social connectivity, thereby enhancing their independence and overall quality of life.

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