Feature's - YouMatter
Text Analysis - Mental Health Detection by Using Input
Mental Test's
Anxiety Test
Mental test - Anxiety Score

YouMatter AI

YouMatter AI is an AI-powered platform designed to help individuals better understand their mental health. By analyzing user-submitted text and providing a structured mental health test, the platform detects emotional patterns and offers actionable recommendations, such as meditation, deep breathing, or grounding exercises. The goal is to empower users to take small, effective steps to manage stress, anxiety, and overall emotional well-being.

Key Features

1. Text Analysis

Users can type in their thoughts or feelings.
The AI analyzes the text, identifies emotional cues, and provides relevant recommendations.

2. Mental Health Test

A simple, structured test that evaluates the user’s emotional state.
Generates actionable recommendations based on the results.

3. Recommendations

Provides practical suggestions to improve mental well-being.
Suggestions may include mindfulness exercises, stress management techniques, and emotional self-care strategies.

4. User-Friendly Interface

Designed for simplicity and accessibility.
Ensures users of all backgrounds can benefit from the platform.

Impact

YouMatter AI bridges the gap between awareness and action in mental health. It provides a convenient way for users to understand their emotions and access strategies for emotional self-care, promoting overall mental wellness in a supportive, non-intrusive manner.

Built With

bootstrap
css
flask
git
html
joblib
logisticregression
nltk
numpy
pandas
python
render
requests
scikit-learn
tfidfvectorizer

Submitted to

Created by

As the Project Lead and Data Scientist, I oversaw the entire development cycle—defining the architecture, assigning responsibilities, and ensuring effective team collaboration. My primary focus was on the backend and machine learning pipeline. I handled the data collection and cleaning process using Pandas, ensuring the dataset was well-structured for training. I developed and fine-tuned the machine learning algorithm using Scikit-learn, and serialized the final model using Joblib for integration.

The backend was built using Flask, and I connected it seamlessly to the frontend using Jinja2 templating. All ML experimentation and model building were done in JupyterLab, while the backend and deployment configuration were managed through VS Code. I also led the deployment phase, hosting our full-stack application on Render, ensuring a smooth and production-ready release.

Harshal Nikumbh
As a frontend developer in our hackathon team, I was responsible for designing and implementing the user interface of the application. I created responsive layouts using HTML and CSS, ensuring the UI as friendly and visually appealing on all screen sizes. I developed key components like the navigation bar, interactive forms, and modal popups. I also used JavaScript to handle dynamic UI interactions, such as form validation, theme toggling (dark/light mode). My focus was on delivering a clean and accessible user experience with smooth and consistent design. I collaborated closely with the team to turn user-friendly web pages.

Rushali Houde

Updates

Harshal Nikumbh posted an update — Sep 02, 2025 12:24 PM EDT

Project Update: YouMatter

Backend: Completed
Database: Ready
Machine Learning Model: Trained

Status: Fully functional!

Next Step: Deployment — coming soon!

Project Lead

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Harshal Nikumbh posted an update — Aug 07, 2025 07:39 AM EDT

✅ Project Update

UI Development: The user interface has been successfully built and is functioning as expected.

Next Phase – ML Pipeline: We’ve now entered the next stage — building the Machine Learning pipeline. Initial setup is in progress!

— Project Lead

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Harshal Nikumbh posted an update — Aug 02, 2025 06:58 AM EDT

✅ Project Progress Update

Frontend structuring is currently in the build process!

The foundation for a clean, responsive, and user-friendly interface is taking shape.

— Project Lead

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Harshal Nikumbh posted an update — Aug 01, 2025 11:43 PM EDT

✅ Project Update
Data Cleaning: Started successfully.
Frontend layout has already been finalized, and development will begin soon.

— Project Lead

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Harshal Nikumbh posted an update — Jul 31, 2025 09:13 PM EDT

✅ Project Update

Data Collection: Completed successfully.
Next Step: Data cleaning will begin shortly. Meanwhile, we have scheduled a discussion to finalize the Frontend layout and project logo.
Let’s aim for a clean, intuitive design and strong visual identity!

— Project Lead

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