Empath addresses a key challenge in outdoor sports: the lack of a centralized, dynamic framework to discover and act on cycling and outdoor events in real-time. Powered by Retrieval Augmented Generation (RAG), EM-PATH transforms this experience by automating the identification, curation, and personalization of events.…

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EFC-Module - Emotional Framework Collaboration for AI systems

Sentiment Analysis Project This project implements a lexicon-based sentiment analysis approach. It provides functionality to detect emotions and calculate sentiment scores from input text using a predefined lexicon. Project Structure sentiment-analysis-project ├── src │ ├── sentiment_analysis.py Main logic for sentiment analysis │ └── __init__.py Marks the directory as a Python package ├── requirements.txt Lists project dependencies └── README.md Project documentation Installation To set up the project, clone the repository and install the required dependencies: pip install -r requirements.txt Usage To use the sentiment analysis functionality, import the necessary functions from the sentiment_analysis module in your Python scripts. Example: from src.sentiment_analysis import detect_emotion, calculate_sentiment text = "Ik ben zo blij en gelukkig vandaag." emotion = detect_emotion(text) print(f"Detected emotion: {emotion}") Contributing Contributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bug fixes. License This project is licensed under the MIT License. See the LICENSE file for more details.…Sentiment Analysis Project This project implements a lexicon-based sentiment analysis approach. It provides functionality to detect emotions and calculate sentiment scores from input text using a predefined lexicon. Project Structure sentiment-analysis-project ├── src │ ├── sentiment_analysis.py Main logic for sentiment analysis │ └── __init__.py Marks the directory as a Python package ├── requirements.txt Lists project dependencies └── README.md Project documentation Installation To set up the project, clone the repository and install the required dependencies: pip install -r requirements.txt Usage To use the sentiment analysis functionality, import the necessary functions from the sentiment_analysis module in your Python scripts. Example: from src.sentiment_analysis import detect_emotion, calculate_sentiment text = "Ik ben zo blij en gelukkig vandaag." emotion = detect_emotion(text) print(f"Detected emotion: {emotion}") Contributing Contributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bug fixes. License This project is licensed under the MIT License. See the LICENSE file for more details.

Architect

Atarashi – Where Technology Meets Empathy

Welcome to the world of Atarashi – a unique AI experience where technology, emotion, and play come together to approach mental health and collaboration in a new way.

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Atarashi is no ordinary game or chatbot. It’s a journey through four layers, where players not only solve puzzles, but also explore their own emotions and choices. Each level is accompanied by a virtual guide (Mystique, Neo, or NSND) who challenges, inspires, and sometimes even confronts you.

What makes Atarashi unique?

Empathetic AI: The AI doesn’t just respond to your input, but learns and grows with each player. Every interaction is personal.
Gamification for mental health: Through playful challenges and reflective questions, Atarashi helps users recognize and strengthen their emotions.
Safety & ethics: Built-in early warning systems and ethical dilemmas ensure a safe and educational environment, with respect for privacy and well-being.
Stronger together: Innovation and cooperation are central. Players solve problems together, discover new technologies, and learn from each other’s perspectives.

“Atarashi shows that technology doesn’t have to be cold. It can connect, support, and even heal.”
– Louis Janssens, Creative Producer

For whom?

Anyone who is curious about the power of AI, wants to challenge themselves, or is looking for an accessible way to engage with mental health – from young people to professionals, from solo players to teams.

Features

Reflective puzzles and ethical dilemmas
Virtual guides with their own character
AI that adapts to your style and needs
Possibility of growth and expansion (custom GPTs, integration with Copilot Studio)
Badges, secret content, and an exclusive community for the best players

Be surprised, challenge yourself, and build a world together where humans and AI reinforce each other.

Do you dare to look beyond the surface?

[![License: MIT](https://www.twine.net/signin

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