This Flask application integrates with MongoDB for user data storage and utilizes various APIs for natural language processing tasks such as sentiment analysis, named entity recognition (NER), and emotion detection. Tailwind CSS is used for styling the frontend.

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

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.

This Project Detects the emotion of the user and plays the song based on that emotion.

A webapp which displays music and video on the basis of emotion.

A flask application in Python with deep learning based models to detect human emotions from webcam feed and playing music of the desired genre

WhatsTheirFace, Facial Recognition app.

OpnEco is a Python3 project developed to aid content writers throughout the content writing process. By content writers, for content writers.

Face AI Emotion Detection Project for MySureStart Makeathon 2021

this repo contains files for my analysis on disney land visitor reviews using NLP

The aim of the project is the the developing of different models for predicting the emotions in text lyrics. Moreover, a simple web application has been developed for the deploying of the work.

📝 Exploratory analysis on Linkin Park lyrics

A Deep Learning model deployed with FastAPI recognizes emotions using facial expression.

An example Brain.js (GPU Accelerated) app built on Neural Networks (Practice based project) integrated in Client-side JS

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.

Let the AI detect the face(s), gender, age and face expressions on your instagram profile picture

Home Automation based on Machine Learning.

Live facial expression to emoji with your webcam.