Deployment of Facial Emotion Model
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Updated
May 16, 2024 - HTML
Deployment of Facial Emotion Model
A flask application in Python with deep learning based models to detect human emotions from webcam feed and playing music of the desired genre
The aim of the project is to develop a deep learning model (multi-class classifier) aimed at detecting emotions in social media dialogues.
Project for course Context Applications. App checking satisfaction level of costumers by using Microsoft Emotions API.
EmoTunes, an incredible music app that allows you to discover and enjoy songs based on your current facial emotions.
Emotion recognition on commercials
The Text-Based-Emotion-Detector Web App is an easy-to-use tool for analyzing emotions in text. Whether it's an article, a comment, or any other textual input, the app uncovers the underlying emotional tone. The app uses the MeaningCloud Sentiment Analysis API to analyze the text and provide a detailed report on the emotions detected.
Windows control through facial gestures and emotion recognition. You can now act surprised when caught on stack overflow and boom your work windows are back on top. Raise or Lower the volume with your eyebrows, take a screenshot with a smile or send a message with a kiss.
Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.
Preprocessed data and analysis scripts of the manuscript "Rapid processing of neutral and angry expressions within ongoing facial stimulus streams: Is it all about isolated facial features?".
Let the AI detect the face(s), gender, age and face expressions on your instagram profile picture
Gauges audience emotional reaction in real-time. Won best newcomer hack at Imperial College Hack 2018. 👻
Real-time music emotion analysis
This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
Online music therapist
This Project Detects the emotion of the user and plays the song based on that emotion.
Shows the 🔼 and 🔽 of your life. Encourages you to 😂 more. (Facebook Hackathon 2018)
Data Science Project
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