Inspiration
Imagine the lives of older people who live alone, they might need someone to care of them. In these situations, AI companions like 'Heart to Tech' help them escape loneliness, and have someone to talk to, or sing songs with. In this project, we will focus on the lives of elderly people who need a companion who will stay through thick and thin, from providing companionship to ensuring their safety at their homes, to monitoring their health reports. In India, most of the elderly people never use apps or utilize more of the technology. An app like 'Heart to Tech' is really necessary and would be the one they will love.
What it does
Personalised AI apps for elderly monitoring like 'Heart to Tech' provide a user-friendly platform that integrates health monitoring, and daily reminders to take medicines, becoming their virtual partner. The app learns and adapts to the user's habits, preferences, health reports, and mental health, using AI-driven analytics. This allows for personalised recommendations and interactions with the user. These apps can be accessed using smartphones, tablets, laptops. It uses AI's predictive analysis feature to understand what the user likes to eat, the songs they like to listen to, the topics they love to share etc. These apps can be customised to fit various lifestyle needs, including monitoring health reports and instantly notifying family members when there are any variations in reports.
This app is user-friendly as it provides the personal care and attention that the users deserve, all while promoting their independence and improving their quality of life. This app can be embedded into the existing smart home systems, integrating with lighting, temperature controls, and other smart devices to improve its experience. It also focuses on developing more advanced and customisable alert systems that can be tailored to the specific needs and routines of the person.
This app connects with smart home systems which can be used to sense any unusual activities in the house, a person falling etc using camera sensors and would send notifications to the family members or could even be connected to the nearest health care centre where the patient is treated to call for help. The feature of location tracking will also help family members know where they are. The main focus is to prepare an AI companion which will fulfill all the tasks completely thereby making life easier.
How we built it
'Heart to Tech' system would leverage AI to monitor daily activities, detect anomalies and provide real-time alerts to family members if there is any emergency. Using machine learning, the companion could learn individual routines, ensuring personalized monitoring that adapts over time. Using IoT we can connect the app to smart home devices, CCTV cameras etc. Additionally, integrating voice recognition and natural language processing would allow the AI to interact with the elderly, offering companionship.
Challenges we ran into
There are few existing technologies in elderly care monitoring systems but there is still room for innovation. An app like 'Heart to Tech' will perform all the essential tasks needed for elderly monitoring systems alone. It focuses on providing customization, affordability, and enhancing emotional intelligence. It can also be connected to family members, smart home systems and even health care centres to perform efficiently.
What's next for Heart to Tech
'Heart to Tech' is primarily made to focus on giving emotional support to people. Therefore, by using AI technologies we can identify a person's mood whether it is sad, happy, or excited and provide the emotional support the person requires. This will improve the bonding between the user and the app. We would like to add features like fall detection where the app would detect falls using sensors and immediately the family members will be informed. We can also include a facility to book an appointment at a hospital. Such a system could significantly reduce the risks associated with ageing in place while promoting independence and peace of mind for both the elderly and their families.
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