Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

MindBloom: A Multimodal AI Framework for Real-Time Child Emotion Recognition and Emotional Wellness Support

Domaine:

healthcare

Type de record:

software
Créateur:
UtkSahShrKir
Éditeur:
IJE
Hôte:avatar
MindBloom is an AI-powered emotional wellness platform for children aged 4-12 that integrates on-device TensorFlow Lite EfficientNetV2 for real-time facial emotion recognition (87% accuracy) and BERT-based text sentiment analysis. The child Android app features Calm Bot conversations powered by Groq Llama 3.3 70B LLM, delivering empathetic responses and personalized activity recommendations (breathing exercises, drawing, puzzles, stories) based on detected moods. A companion parent app provides comprehensive monitoring through MVVM architecture with Room local caching, displaying weekly emotional summaries, growth charts, safety alerts via Firebase Cloud Messaging, and PDF reports generated through Gotenberg. The FastAPI backend orchestrates Supa base PostgreSQL data persistence, dual content safety filtering (99.3% clean responses), and 12-language localization supporting India's diverse linguistic landscape.

Visit

doi.orgzenodo.org

Tasks

emotion identification

Tags

Child emotional wellnessTensorFlow Liteemotion recognitionGroq LLMFastAPIAndroid MVVMSupabaseFirebase

Licenses

Creative Commons Attribution Non Commercial 4.0 Internationalhttps://creativecommons.org/licenses/by-nc/4.0/legalcode

Similaires

Multimodal CNN–LSTM Framework for Real-Time Maize Disease DetectionMDER-MA: Multimodal Emotion Recognition Dataset for the Moroccan ArabicZenbo Patrol: A Social Assistive Robot Based on Multimodal Deep Learning for Real-time Illegal Parking Recognition and NotificationArtificial Intelligence Chatbot Adoption Framework for Real-Time Customer Care Support in KenyaMDER-MA: A multimodal dataset for emotion recognition in low-resource Moroccan Arabic languageMDER-MA — Moroccan Arabic Multimodal Emotion Recognition (TTS-aligned)

Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection

Maize diseases present a major challenge to agricultural productivity and food security, particularl

MDER-MA: Multimodal Emotion Recognition Dataset for the Moroccan Arabic

MDER-MA, a Multimodal Emotion Recognition Dataset for Moroccan Arabic, contain 5288 data items that

Zenbo Patrol: A Social Assistive Robot Based on Multimodal Deep Learning for Real-time Illegal Parking Recognition and Notification

In the study, the social robot act as a patrol to recognize and notify illegal parking in real-time.

Artificial Intelligence Chatbot Adoption Framework for Real-Time Customer Care Support in Kenya

In today’s society, most if not all sectors digitize and automate in order to become more e

MDER-MA: A multimodal dataset for emotion recognition in low-resource Moroccan Arabic language

MDER-MA — Moroccan Arabic Multimodal Emotion Recognition (TTS-aligned)

A repackaging of the MDER-MA dataset that pairs every audio clip with its Arabic (Moroccan dialect /