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Cognitive Wellness Assistant

An interactive, data-driven web application for assessing behavioral wellness and lifestyle factors.


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Overview

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.


Features

  • 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.

Tech Stack

  • 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

Installation

  1. Clone this repository:
    git clone https://github.com/yourusername/CognitiveWellnessAssistant.git

About

A frontend web application that provides interactive, data-driven insights into behavioral wellness. Users can input sleep, stress, and lifestyle information, and the assistant compares it against a mental health dataset to offer personalized recommendations. Built with HTML, Tailwind CSS, JavaScript, and PapaParse for CSV data analysis

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