Popular GitHub Repositories for Mood

Write about your current mood, the lyrics of your favorite song, or even a random thought that popped into your head — AI will do the rest.

This program can recognize your mood by detecting your face and play song according your mood

AudioMuse AI: Leverages Essentia for deep audio analysis and AI-powered clustering to create smart, tempo and mood-based playlists within Jellyfin API

(Unofficial) Pytorch Implementation of Music Mood Detection Based On Audio And Lyrics With Deep Neural Net

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.

Stream music/audio to WLED Sound Reactive. Real time audio data analysis: volume, FFT, pitch detection etc.Include RTMGC. Include Real Time Music Mood Detection.WLED audio sync integrated v1 for esp8266 & v2 message for esp32.

Face/Mood detection using face-api.js

? This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes. Also includes a sample Flask backend!

A Smart Journaling App with NLP and Sentiment Analysis

MoodCat? classifies the mood of English sentences.

In this mini-project i have chosen to do sentiment analysis of social media websites such as twitter and reddit to gain insights into the people’s opinion towards prime ministerial candidates for the Lok Sabha election 2019. Social media provides a platform for people’s opinion of a person or event or topic to be heard from anywhere at any time and is the easiest and fastest way for them to do it. So, analysing these sentiments will be of immense use in knowing the trending topics and the mood of the people towards those topics among other things. The mini-project also aims at implementing and comparing contemporary machine learning text classification algorithms to predict the sentiment of a piece of text.

Mood Detector and Mental Health Assistant, IOT Project for Sem V of INFT Course, Vidyalankar Institute of Technology

EchoMate – An AI mental health companion using GPT-4o, Whisper, and Gradio for empathetic conversations, real-time transcription (95% accuracy), and seamless interaction. Boosts mood scores by 28% and achieves 98% session completion.

Mood is an AI-driven journaling web app designed to help users track their sentiments and moods over time. It offers advanced sentiment analysis and question-based similarity searches, making journaling an insightful and engaging experience.

Deep Learning project which uses lyrics to predict mood. This helps in mood based playlist creation and accurate song suggestion.

一款基于人工智能的情绪日记平台，旨在通过提供可执行的建议、个性化反馈和互动式AI代理来提升你的心理健康，支持你的情绪健康之旅。

TaleTailor is an AI-powered story generation and storytelling platform that blends creative writing with social media. Users can generate emotionally-rich, genre-specific stories using advanced AI, collaborate with others in real time, and share their work in an interactive community with mood-based theming, likes, profiles, and discovery tools.

? A music recommendation system that generates Spotify music playlist based on your mood and preferences ?

Using OpenAI API this chatbot is created in NextJS and tuned to the role of mood therapist. Customizable Response length, mood preference & context awareness.

Generate dynamic playlist based on your current mood using sportify api, langchain, and google generative ai.