## Inspiration

We wanted to help people make healthy decisions and ease their burden during stressful periods in their life.

## What it does

FloTask is a productivity app that uses TerraAPI to measure the user’s focus, energy, and mood from their wearable devices. Using this data, our app helps users optimize their work schedule, tasks, and breaks based on their daily rhythms and performance.

## How we built it

A majority of our project time was spent learning and brainstorming. We drafted our initial ideas on paper and used them to build lo-fis with Figma. After overcoming our technical challenges, we spent the remaining hours constructing components to showcase our ideas for this project. We worked together to help each other get through errors we experienced and learned from each others' mistakes :)

## Challenges we ran into

We had difficulty defining scope and functionality of the project, taking on more than we could handle. We also had difficulty figuring out how exactly we would determine stress levels and what to do with the data.

## Accomplishments that we're proud of

We were able to bounce back from hundreds of errors when setting up our dev environment. We overcame the hurdles that came with setting up expo, react-native, and TerraAPI. In a short period of time, we were able to get a clean and robust UI.

## What we learned

Our group had no mobile development experience, and we wanted to challenge ourselves by learning something new. In this time, we gained experience designing a mobile interface and we all learned a new framework.

## What's next for FloTask

In the future we intend to fully integrate our app with TerraAPI, refine the design of our existing features, and add Google Calendar integration.
## Inspiration

---

Through extensive research into health management applications and a comprehensive competitor analysis, it became evident that these applications predominantly emphasize physical health and are often overly generalized, lacking broad applicability. Subsequent discussions between our development team and colleagues underscored the vulnerability of developers to an unhealthy work environment.

In light of these findings, we have undertaken the initiative to introduce a service that is holistic in its approach, encompassing three key dimensions of health: physical, mental, and overall well-being. Our objective is to offer developers constructive guidance and recommendations to enhance their health and well-being.

This initiative represents a tailored and enhanced iteration of wearable health applications, akin to industry-leading solutions such as Apple Health and Google Fit.

## What it does

---

This application leverages data from the Terra API to furnish users with an accurate assessment of their current physical, mental, and overall well-being status. Moreover, it offers actionable recommendations designed to be seamlessly integrated into developers' everyday lives, with the overarching aim of inspiring and motivating users to adopt and sustain a healthier lifestyle.

## How we built it

---

Node.js with the express library was used to build the Backend; React, Figma, HTML, and CSS were used to build the front end and design UIUX.

While MongoDB had not been completely integrated into the code at this stage, the application took a proactive approach by segregating data collection into two distinct components: one housing the user's raw data and the other storing the analyzed final status. This bifurcation was a deliberate measure aimed at safeguarding user privacy while still furnishing managers with the requisite information for effective team management.

## Challenges we ran into

---

Within a constrained timeframe, the necessity to complete a product development project posed a significant challenge for our team. This was further exacerbated by the need to utilize tools and technologies with which we had limited prior experience, thereby compounding the time constraint issue.

## Accomplishments that we're proud of

---

What we take the utmost pride in is the exceptional design of the service, a testament to the remarkable work of Atmiya and Maxwell. Equally, the project's value is derived from the successful utilization of previously unexplored skills for Min and Omar, underscoring our ability to tackle new challenges and achieve the project's completion.

## What we learned

---

Through the hack Harvard, we could learn about the following

-the power of peer mentorship

-how teamwork can boost productivity

-the way to understand new skills in a short time period

## What's next for DevHealth

---

Regrettably, due to the constraints of time, we were unable to realize all the desired functions we had planned for. Nevertheless, we remain hopeful for the opportunity to further develop this service. Our envisioned future enhancements include:

Building a web application tailored for team managers to streamline their interaction with the service.

Creating an iOS application to enhance accessibility and provide timely notifications to users.

Developing a watchOS application to gather a broader spectrum of data not typically collected by mainstream wearables like the Apple Watch and Fitbit, among others.
## Inspiration 🎯

Medication non-persistence is a critical issue affecting patient safety in the United States and beyond. According to studies, "between 40% and 75% of adults fail to take their prescribed medications on time each day" [1], leading to worsening health outcomes, increased hospitalizations, and preventable deaths. Non-adherence can lead to serious complications, including "delirium, hypoglycemia, and acute kidney injury" [2]. Existing digital reminder solutions often suffer from high onboarding friction, making them less accessible to those who need them most—particularly senior citizens and less privileged members of society who may have limited access to or knowledge of modern technology like smartphones or the internet. We were inspired to create MediGuide to address these gaps, providing an inclusive, user-friendly solution that enhances medication adherence and improves patient safety for everyone.

## What It Does 💊

MediGuide is an AI-powered reminder and monitoring system designed to enhance patient safety by ensuring adherence to medication regimens. Here's how it works:
1️⃣ Seamless Onboarding with Healthcare Professionals: Patients are onboarded through a consultation session with a healthcare professional, either in-person or via telehealth. The doctor understands the patient's needs, writes a prescription, and enters it into the MediGuide platform, specifying the patient's preferred method of reminder.
2️⃣ Personalized Reminder Delivery: MediGuide's intelligent AI system identifies the medication and dosage, setting up personalized reminders for the patient via their chosen method—automated phone calls or text messages. Each reminder includes clear, simple instructions tailored to the patient's specific medication regimen.
3️⃣ Monitoring and Feedback: After each reminder, the system prompts the patient to confirm medication intake. It periodically checks in about their experiences, detecting early signs of adverse reactions and prompting timely interventions.
4️⃣ AI-Powered Adaptation: The AI continuously learns from patient behavior, using predictive analytics to adapt and optimize reminders for each individual, improving adherence over time.
By integrating this data-driven approach, MediGuide aims to minimize medication-related risks, reduce hospital readmissions, and ultimately improve overall patient safety.

## How We Built It 🛠️

We built MediGuide using Next.js and Flask for the backend, providing a robust and scalable infrastructure. The frontend was developed with React.js, TypeScript, and shadcn, ensuring a responsive and user-friendly interface. To understand doctors' prescriptions and generate smart, personalized reminders, we utilized top-performing Large Language Models (LLMs). For the phone call reminders, we leveraged advanced conversational voice AI technologies to deliver engaging and accessible interactions with patients who may not be familiar with modern digital devices.

## Challenges We Ran Into 🚧

One of the main challenges we faced was integrating advanced AI technologies within a tight time frame. Developing an AI system that accurately understands and processes doctors' prescriptions required careful tuning of Large Language Models. Ensuring that our platform is accessible to patients with limited technological proficiency was another challenge, as we needed to design interfaces and interaction methods (like phone calls) that are user-friendly for all age groups and technological backgrounds. Additionally, we had to consider compliance with healthcare regulations and patient privacy laws, which added complexity to our development process.

## Accomplishments That We're Proud Of 🎉

We are proud of being able to create MediGuide in under 36 hours for a noble cause. Developing a functional AI-powered system capable of understanding prescriptions, generating personalized reminders, and interacting with patients through conversational voice AI within such a short time frame was a significant achievement. We hope that this creation can eventually evolve into a product that helps more patients take their medications timely and recover faster, improving patient safety for millions across the world.

## What We Learned 📚

Throughout this project, we learned about the complexities surrounding medication adherence and the significant impact it has on patient safety and healthcare costs. We gained valuable experience in integrating advanced AI technologies, such as Large Language Models and conversational voice AI, into a practical application. Additionally, we learned the importance of designing solutions that are accessible and user-friendly for all patients, regardless of their technological proficiency. This project reinforced the value of interdisciplinary collaboration between technology and healthcare to address real-world problems.

## What's Next for MediGuide 🚀

We're excited to hear feedback from our peers and mentors and to speak with actual healthcare practitioners. Our next steps involve engaging with medical professionals to gather insights and validate our solution in real-world settings. We aim to explore avenues of collaboration with hospitals and clinics to integrate MediGuide into existing healthcare systems, ultimately improving patient safety on a larger scale. We're also considering further development to comply with healthcare regulations, enhance AI capabilities, and expand accessibility features to reach more patients.
Citations