Inspiration
The inspiration behind "Thrive" 🏋️♀️ stemmed from the challenging times brought about by the pandemic. Witnessing how the health and well-being of employees were often overlooked by employers, especially during remote work setups, sparked the idea to create a platform dedicated to promoting employee wellness. With the job market becoming increasingly uncertain, particularly in fields like IT where layoffs are prevalent, prioritizing health became more crucial than ever as it usually loses priority due to delayed results.
What it does
Use decentralized agents to modulazire healthcare + Incentivise using crypto wallets ! "Thrive" was developed as a comprehensive platform leveraging the use of Agents using Fetch.ai. The use of the Fetch API enabled the creation of employee agents, each equipped with their own separate crypto wallets to securely manage incentives and rewards. In the future, integrating wearable device data allows for seamless tracking of user activity and progress, while personalized health recommendations were generated based on individual medical histories and fitness goals.
class Employee:
def __init__(self, employee_id, email, properties, mental_health):
self.employee_id = employee_id
self.email = email
self.properties = properties
self.mental_health = mental_health
How we built it
The project is majority built with the use of independent agents that communicate with each other. There are also application management agents that carry out specific business logic and communication among the agents. The project uses in-build wallets with the agents to carry out transactions to provide incentives to employees to complete a task. The wallet in this case is used to store 'points' for the application, where more points mean more completion of the challenges. These metrics can then be used to create a more specific report to analyze further.
Challenges we ran into
Working with Fetch.ai for the first time was fun although it did provided some challenges during the process. One of the major concerns was spinning up agents for each employee and managing the communication within them to ensure efficient use of the resourse. Initially it took a bit of effort to understand how the elements withing the Fetch ecosystem come together to achieve the architecture one needs, but with a hybrid setup ( agents on Agentverse and local system) provided an efficient solution for the problem. Another issue managing the temporary issues seen online while getting a consistent output from the agent deployed.
Accomplishments that we're proud of
The architecture of the system fits the requirements really well specially it being scalable in terms of adding new employees, while keeping the medical history records secure withing an internal system rather that deploying it in Agentverse. Division of responsibilities and access for specific agents makes it easier for making any required changes in the future.
What we learned
Building with agents was something new for me, and it was really great to have the Featch.ai team supporting all the students through the hackathon. It was really fun to think about things like scalability and accessibility regarding healthcare within the project within a strict timeline.
What's next for Thrive
Thrive has a vast potential for providing more healthcare features that expand towards mental health. It can also provide suggestions for various fields in the future. On the hardware side, it would be great to get Thrive to get integrated with hardware devices like smart watches to make it more accessible and easier for the employees to track and thus enhance their overall health.
Log in or sign up for Devpost to join the conversation.