Inspiration

The inspiration for our panic detection app arises from personal experiences and a profound awareness of the impact of panic attacks. We have witnessed the distress and helplessness that come with these episodes, which motivates us to provide a supportive solution. As mental health awareness grows, we see an opportunity to leverage wearable technology, such as smartwatches, to empower individuals in managing panic attacks, thereby reducing their social and emotional burdens. Our ultimate aim is to positively impact the lives of those affected by panic attacks, offering early detection, support, and peace of mind.

What it does

The proposed solution we have come up with is whenever the user has a panic attack, our AI detects it and sends an alert message to the person's family member or close friend. We plan to include features such as guided meditations or minigames which help calm the mind.

Achievements

We managed to achieve an accuracy of 91.1% with our AI model and a precisely curated dataset. We detect panic attacks by using the heart rate from the watch and calculating the heart rate variability before passing these values to our AI model.

Panic Detection App for Smartwatches

Team Name: ZaZa

Team Members:

Mayur R
Sanketh Sequeira
Akul P
Adarsh Prakash
Tryambak Adiga
Neeraj VP

Description

Our innovative app leverages the power of smartwatches to detect and respond to panic attacks. We understand the distressing nature of panic attacks and their impact on individuals' lives. Our solution is designed to provide real-time monitoring and support.

Key Features

Heart Rate Analysis: Utilizes heart rate data from smartwatches to identify sudden spikes indicative of panic attacks.
Immediate Alerts: Sends timely alerts to the user, helping them become aware of the situation and take necessary actions.
Automatic Assistance: The app can notify emergency contacts with location information if the user is unresponsive.
Data Logging: Records panic attack events, enabling users and healthcare providers to monitor patterns and make informed decisions.

Technology Stack

Smartwatch Integration: Developed for WatchOS and other compatible platforms.
Machine Learning: Employs Support Vector Machine (SVM) and AI models for accurate panic detection.
User-Friendly Interface: An intuitive and easy-to-use app for a seamless user experience.

Why It Matters

Panic attacks are a common and often debilitating condition. Our app aims to make a real difference in people's lives by providing a tool for early detection and support during these episodes. It helps users gain control and offers peace of mind for both them and their loved ones.

Future Developments

In the future, we plan to expand our app to include more wearable devices and improve its accuracy through continuous machine-learning updates. We also aim to collaborate with mental health professionals to provide users with more resources for coping with panic attacks.

Github repo link

Presentation link