Mālie

Mālie is a groundbreaking full-stack web application that leverages an AI personal therapist to help alleviate anxiety and promote mental well-being. This innovative solution integrates a variety of frameworks and machine learning algorithms to create a responsive and supportive user experience.

The backend of Mālie is developed using Python and Django, incorporating advanced Natural Language Processing (NLP) techniques with libraries like spaCy. Utilizing TensorFlow and scikit-learn, the AI therapist is capable of continuously learning and adapting based on user interactions, ensuring personalized and effective support.

The frontend is designed with React.js, HTML5, and CSS3, providing a sleek and user-friendly interface. To safeguard user privacy and confidentiality, secure communication protocols and data encryption techniques are meticulously implemented.

You can explore the project further on GitHub.