Let's Talk!

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  Let's Talk!'s home screen

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  Chat Screen

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  Happy resources

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  Sad resources

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  Angry resources

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  Tired resources

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  Lonely resources

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  Bored resources

Inspiration

Watching some of our friends and classmates face important issues such as depression and anxiety in their day-to-day lives, we wanted to create an app that would let users can vent, release any pent-up emotions, or just talk about their day to relieve stress. We believe our app would be beneficial to those who want to share their feelings in a non-judgmental way.

What it does

Our app allows users to have a conversation with the AI chatbot. Our program will detect the mood of the user and reply with the appropriate phrasing. If the user seems to be displaying anxiety, depression, or other serious symptoms, the AI chatbot will reply with suggestions for stress-relieving activities or the contact of certain mental health organizations that might be able to help.

How we built it

We built our app with Java using the platform MIT App Inventor. We also trained a Machine Learning model to classify the tone of the user.

Challenges we ran into

We had a hard time finding a platform that would allow us to collaborate for the code live. Also, as we used a separate platform for our machine learning portion and the basis of our app, we had trouble integrating our machine learning module with the app.

Accomplishments that we're proud of

We are proud of just building this in such a short time.

What's next for Let's Talk!

In the future, we hope to train our model to respond to more moods. We also hope to create a system where users can input their feelings as keywords and be matched to other users around the world with similar feelings. This way, users will be able to bond and create a support group for themselves.

Built With

• java
• mit-app-inventor
• ml