SCDB aims to provide seniors with an easy-to-use digital platform for preliminary health and fall risk self-assessment in the comfort of their homes. Through AI-driven assessment forms, and real-time video or audio calls with doctors, we offer proactive healthcare solutions. By leveraging technology, we ensure early detection of health concerns and seamless access to medical assistance, enhancing the safety and well-being of elderly individuals.
By taking a video of yourself walking, we can determine your gait, by reviewing video using a Computer Vision Model.
Users can fill out and upload an assessment form for us to review and provide possible suggestions.
Users can add emergency contacts, allowing them to quickly reach out for help in urgent situations.
Users can have audio and video calls with a doctor to consult about anything they need.
Users can ask any questions such as what is diabetes or any other information they might want to know more through Med42 Llama3 model.
We will work with doctors to provide advice on any health- or medicine-related questions.
A comprehensive health guide videos to help all seniors maintain their well-being and good health.
The platform is built using a microservices architecture, ensuring scalability and flexibility.

All microservices, the static website, and the MySQL database are interconnected. The static website displays data to the user, while user input is written to the database. Which ensure the website is fully functioning.
Static Website:
API Gateway:
Prerequisites:
GAIT Analysis: README Reference AI QnA:
HTML
33.8%
CSS
23.9%
Go
15.6%
JavaScript
13.6%
Python
9.2%
Shell
2.4%
Dockerfile
1.5%
SCDB aims to provide seniors with an easy-to-use digital platform for preliminary health and fall risk self-assessment in the comfort of their homes. Through AI-driven assessment forms, and real-time video or audio calls with doctors, we offer proactive healthcare solutions. By leveraging technology, we ensure early detection of health concerns and seamless access to medical assistance, enhancing the safety and well-being of elderly individuals.
By taking a video of yourself walking, we can determine your gait, by reviewing video using a Computer Vision Model.
Users can fill out and upload an assessment form for us to review and provide possible suggestions.
Users can add emergency contacts, allowing them to quickly reach out for help in urgent situations.
Users can have audio and video calls with a doctor to consult about anything they need.
Users can ask any questions such as what is diabetes or any other information they might want to know more through Med42 Llama3 model.
We will work with doctors to provide advice on any health- or medicine-related questions.
A comprehensive health guide videos to help all seniors maintain their well-being and good health.
The platform is built using a microservices architecture, ensuring scalability and flexibility.

All microservices, the static website, and the MySQL database are interconnected. The static website displays data to the user, while user input is written to the database. Which ensure the website is fully functioning.
Static Website:
API Gateway:
Prerequisites:
GAIT Analysis: README Reference AI QnA:
HTML
33.8%
CSS
23.9%
Go
15.6%
JavaScript
13.6%
Python
9.2%
Shell
2.4%
Dockerfile
1.5%