Research Article
Edmoai: AI Powered Emotional Intelligence Tutor
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357801, author={G Ramesh Kalyan and M Lavanya and Gurubalaji M and Dhaanya Shree V and Dharsan Sakthivel D and Hema Kumar R A}, title={Edmoai: AI Powered Emotional Intelligence Tutor}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={reactjs nodejs tailwind css face++ api hugging face mistral api emotion detection nlp to-do list edtech ai learning}, doi={10.4108/eai.28-4-2025.2357801} }- G Ramesh Kalyan
M Lavanya
Gurubalaji M
Dhaanya Shree V
Dharsan Sakthivel D
Hema Kumar R A
Year: 2025
Edmoai: AI Powered Emotional Intelligence Tutor
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357801
Abstract
Edmoai is an AI-powered cognitive emotional learning assistant based on real-time interactive user touch that enhances interest in learning and emotional well-being. Students are supported on the learning path by the platform with interactive tools for learning, AI-based personal guidance, and advanced facial and spoken emotion tracking. Face++ and Hugging Face APIs are used for detecting facial emotions and text entry for detecting emotions. Mistral API is used to implement context-aware intelligent chatbot guidance, and its NLP-based document learning supports uploading study materials and receiving dynamic Q&A answers, key concept overviews, and automated study schedules. Gamified stress management features provide interactive sessions of shorter duration to augment motivation and clarity of mind, and a To-Do list module is specially designed to track learning progress and follow up with chores. The application provides a smooth and interactive user interface due to the responsive design of the application that was spearheaded by Tailwind CSS and founded on a stack of modern components consisting of React.js and Node.js. A robust backend enables real-time functionality, providing personalized, emotionally intelligent learning, which adapts with each student.
