Popular GitHub Repositories for Feelings

ArtaEye is web/mobile camera eye tracking to make beautiful drawing and artwork based on eye movements. In this project. We target people with disabilities to create an artwork. We try to translate their feelings through their eyes into digital drawings.

A recurrent neural network model to analyze how travelers expressed their feelings on Twitter

Vecna is a Python chatbot which recommends songs and movies depending upon your feelings

Stress, anxiety, and depression are threatening the mental health of people. People often share their feelings on social media platforms like on Instagram in the form of posts and stories, and on Reddit in the form of asking for suggestions about their life on subreddits. So, here is my project to detect stress using people's messages as dataset.

Kuki is a friendly and emotional chatbot that speaks in Hinglish, created by Atharv Hatwar. She's designed to be your supportive friend who understands your feelings and provides emotional support while maintaining natural conversations. Features ?

Analyze user feelings based on provided emotions

A humanlike AI companion designed with thoughts, feelings, and memories

???'Customer emotion recognition is technology that helps businesses automatically understand customer feelings.

Can we train machines to express feelings in lyrics? Those song lyrics generators are here to help you through your song writing.

A markdown editor that styles the text according to the feelings that conveys. JS/React and Python/Flask/SpaCy under the hood :feelsgood:

Customer sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to analyze and understand the feelings, opinions, and attitudes expressed by customers in textual data, such as reviews, feedback, and social media posts.

Helps people with communication problems to express their feelings through using dynamic created cards and LIBRAS (Brazilian Sign Language).

AI App to take dairy notes and have connection with a professional if you want. The app build a chart analyzing the sentiment of user.