This is Stress Repellent, an app that helps you cope with everyday stress. One of the most effective methods of reducing stress is being able to talk about it. That’s fine if you have someone to talk to, but what if you don’t have someone you trust to listen to you. This app fixes that exact problem. Stress Repellent give you a trusted confidant in your back pocket. Whenever you feel stressed and you don’t feel you have someone to talk to just open the app and begin writing texts to it and Stress Repellent will listen to you and give you advice to help manage stress.
In October we met with a panel of alumni to share our idea and ask for seed money to begin development of our app. In our presentation we focused on three areas of interest: target audience, goal of service, and budget. Our target audience, in a broad sense is, includes any person with stress or anxiety; but a more focused version of our audience is people who suffer from Generalized Anxiety Disorder (GAD). The goal of our service is to provide users with a quick and effective method of dealing with the stresses of everyday life. The budget we asked for was $290, $265 for servers and $25 for app publishing.
We’ve been very busy in the months following The Pitch. A successful project can’t happen without proper planning, so we have been hard at work in design meetings. This process began with research into multiple relevant areas, including psychological disorders, server technologies, natural language processing, and more. Next, with the finding from this research we began to work on the app prototype. For this we implemented a basic interface design and code that steps the users through a flow chart created to help identify mental conditions that can lead to stress and anxiety. Currently, the app successfully understands user input and completes the flowchart.
One of the biggest issues currently being addressed is the language processing software that drives the app. Because this app is based on the idea that a user is having a conversation with a person, the code in the app needs to be able to understand what the user says to it. This is a common problem in modern software development which does not have straight forward solution. Our team has already implemented a basic processing system that we believe can adequately understand most user responses, but we are continuing to make this system more wide reaching and better able to understand the user no matter what they say. This process requires constant improvement and never ending testing; which will continue for the duration of the project.