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Mood Tracker

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Table of Contents

  1. Project Description
  2. Tech Stack
  3. Prototypes
  4. Author

Project Description

Mood Tracker is an app designed to help users monitor and analyze their daily moods. It provides a platform for users to record their mood and daily activities, and utilizes OpenAI's natural language processing to analyze their input and provide personalized insights.

The app is built using a modern tech stack including Next.js for the frontend, Supabase for data storage, OpenAI for text analysis, Chart.js for data visualization, and Tailwind CSS for styling. Its user-friendly interface and insightful analysis make it a valuable tool for gaining self-awareness and tracking mood trends over time.

Tech Stack

Next JS Supabase ChatGPT Chart.js TailwindCSS

Prototypes

  • Mobile Prototypes Mobile

  • Desktop Prototypes Desktop

Author

| Ziomara Jiménez | LinkedIn GitHub |

mood-trace's People

Contributors

ziomaraj avatar ziomarajimenez avatar

Watchers

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