An interactive, data-driven web application for assessing behavioral wellness and lifestyle factors.
The Cognitive Wellness Assistant is a frontend web application designed to provide structured, evidence-based insights into behavioral wellness, focusing on sleep, stress, and lifestyle patterns.
It leverages CSV-based datasets to offer personalized comparative insights, while also being prepared for future AI integration to handle open-ended wellness queries.
This project demonstrates proficiency in frontend development, data analysis, algorithm design, and user experience (UX) design.
- Interactive Chat Interface: Users can enter responses, and the assistant provides dynamic feedback.
- Data-Driven Insights: Analyzes user sleep and stress patterns against a mental health dataset.
- Algorithms & Recommendations: Implements basic statistical analysis to provide recommendations for improved wellness.
- Responsive Design: Fully responsive layout using Tailwind CSS for mobile and desktop.
- CSV Dataset Integration: Easily load and analyze structured data for personalized responses.
- Modular Architecture: Ready for backend/API integration and expansion into AI-powered assistance.
- Frontend: HTML5, CSS3 (Tailwind), JavaScript (ES6)
- Data Parsing: PapaParse for CSV processing
- Mapping & Visualization: (If applicable, Leaflet.js for any interactive maps)
- Future Integration: Ready to connect with generative AI APIs for advanced conversational responses
- Clone this repository:
git clone https://github.com/yourusername/CognitiveWellnessAssistant.git