Project Info
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Inspiration
With rising stress levels and increased isolation, especially among members of Generation Z, there is a growing need for adolescents to have access to a support system through which they can express their emotions without fear of judgement.
What it does
Tyāg.ai leverages natural language processing to match users facing similar issues together based on their inputs. When a student feels the need to share their concerns with someone else, they can write a description of what is currently bothering them. Tyāg.ai processes this input and uses a similarity-based matching algorithm to place two users within an anonymous chatroom. Natural language processing is used to monitor the chat and ensure a safe environment.
How we built it
We built Tyāg.ai over the course of 36 hours, using Bootstrap for front-end development and trained and fine-tuned our NLP model using Together AI's platform.
Accomplishments we're proud of
We are proud of our success in designing and developing Tyāg.ai from scratch, including implementing an accessible user interface and functional NLP properties.
What we learned
We learned the process of effectively planning and carrying out a software-based project aimed at addressing a societal issue.
What's next
We hope to bring Tyāg.ai to a larger scale by creating new options for users to interact with each other, such as the creation of communities centered around common interests and the implementation of speech so that users can freely speak their concerns to the initial matching interface.
This project did not link a GitHub repository.
Analysis
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Technology
- JavaScriptUnchecked
- PythonUnchecked
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AI coding agents
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Codebase size
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This project did not link a GitHub repository, so its feature claims have not been checked against code.
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