ComfortADHD is a user-friendly software designed to help identify early signs of ADHD. It uses smart technology to analyze behavior and provide clear insights. This helps users and healthcare providers spot potential ADHD symptoms sooner.
With ComfortADHD, you don’t need technical skills to access advanced tools. The program includes a virtual chatbot that offers support and guidance, acting like a friendly assistant. It blends machine learning models with large language models to give you accurate and understandable results.
Before downloading ComfortADHD, check your device meets these minimum requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, or most Linux distributions
- Processor: Intel i3 or equivalent, 1.8 GHz or faster
- RAM: At least 4 GB memory
- Storage: Minimum 500 MB free disk space
- Internet: Required for initial setup and chatbot interaction
The software runs smoothly on laptops and desktops but is not designed for mobile devices.
Follow these steps to download and run ComfortADHD without any hassle.
Go to the ComfortADHD release page linked below:
This page hosts the latest files for all supported systems.
On the releases page, find the file that matches your computer:
- Windows users: Look for a file named like
ComfortADHD-Setup.exe - Mac users: Find a file ending with
.dmg - Linux users: Choose the
.AppImagefile or.tar.gzpackage
Click your chosen file to start the download. Save it to a folder you can easily find, such as your Desktop or Downloads folder.
- Windows: Double-click the
.exefile and follow the install wizard. - Mac: Open the
.dmgand drag ComfortADHD to your Applications folder. - Linux: Make the file executable (
chmod +x) and run it directly.
Once installed, open ComfortADHD from your Start menu, Applications folder, or where you saved the file.
The app will guide you to set up a basic profile. Enter simple details such as your age and any known behavioral notes. This helps tailor the analysis to your situation.
The main feature lets you answer a short questionnaire based on behaviors typical for ADHD. ComfortADHD uses this information combined with machine learning models to predict ADHD risk levels.
If you want to explore mental health topics or get advice, the chatbot is ready to assist. It uses a dialog-based system to simulate a therapy session with supportive responses.
ComfortADHD provides a clear report after the screening. It explains the risk levels and what they mean in everyday language. You will also see confidence scores showing how reliable the predictions are.
- Easy-to-use interface without the need for technical knowledge
- Advanced machine learning for precise early ADHD detection
- Explainable AI to ensure transparency of results
- Behavioral analysis powered by large language models
- Interactive chatbot for virtual therapy and support
- Works on major desktop operating systems
- No internet connection needed after initial setup (except chatbot use)
If ComfortADHD does not start or shows errors, try these steps:
- Restart your computer and try again
- Check that your system meets the minimum requirements above
- Ensure the app has permission to run on your device, especially on Mac and Linux
- For download issues, try another internet connection or browser
- Disable any antivirus temporarily if it blocks the installer
- Visit the project's GitHub page to verify you have the latest version
If you need support beyond these instructions:
- Visit the Issues section on the GitHub repository for common questions
- Open a new issue to describe your problem clearly
- Check the repository’s wiki or documentation if available
You can start by visiting the release page here:
This page contains installers for Windows, macOS, and Linux. Choose the file suitable for your system, then download and run it by following the steps above.
ComfortADHD combines multiple machine learning techniques to offer a comprehensive tool for early ADHD screening.
- Stacking Ensemble ML models improve prediction accuracy by combining several algorithms.
- Explainable AI (XAI) helps users and clinicians understand how the software reaches its conclusions.
- Large Language Models (LLMs) analyze behavioral inputs and power an engaging virtual therapist chatbot.
- The chatbot uses Dialogflow technology to simulate supportive therapy dialogue, bridging the gap between screening and ongoing patient care.
The software is built using Python and focuses on data preprocessing, exploratory data analysis, and robust performance metrics.
This project relates to:
- adhd
- bert
- brier-score
- chatbot
- data-science
- ensemble-machine-learning
- exploratory-data-analysis
- large-language-models
- llms
- machine-learning
- metrics
- pipeline
- preprocessing-data
- python
- therapist-chatbot