FULL-STACK APPLICATION · 2025

MoodCare AI

Overview

A full-stack mood-tracking application with a six-agent workflow for conversation, mood tracking, memory retrieval, and insights.

Semantic search retrieves relevant past conversations. A PyTorch model explores next-day mood prediction from a user’s mood history, alongside the application’s conversational and tracking features.

Focus

AI application · Semantic search

Year

2025

Built with

Google GeminiPyTorchFAISSFastAPIReactMySQL

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Illustrative visual explaining MoodCare AI — Project visualization · An illustrative concept, not a screenshot of the running application.

Inside the project

What it brings together.

Six-agent conversational and mood-tracking workflow

Semantic search over past conversations with FAISS

Memory retrieval and insights

Exploratory next-day mood prediction with PyTorch

Project context

A mood-tracking project; the prediction model is exploratory and does not establish clinical effectiveness.

MoodCare AI

What it brings together.

Six-agent conversational and mood-tracking workflow

Semantic search over past conversations with FAISS

Memory retrieval and insights

Exploratory next-day mood prediction with PyTorch

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