MENTI CHECK

Deskripsi

Project Description: Menti Check Project Overview: Our project, Menti Check, is an application designed to help students and college students assess their mental health and determine the need for professional assistance through self-assessment and an interactive chatbot. The primary aim is to provide a user-friendly tool that encourages mental health awareness and timely intervention. Methodology: We used Google Colab to create the machine learning models that power the self-assessment and chatbot features. The development process involved several key steps: Data Collection and Preprocessing: We gathered and cleaned data relevant to mental health assessment. Model Training: Using Python and various machine learning libraries, we trained models to interpret self-assessment responses and provide appropriate feedback. Integration: The trained models were integrated into a web application, ensuring they could be accessed and used efficiently by users. Ideas and Solutions: Self-Assessment: Users can take a self-assessment test to evaluate their mental health status. The test includes questions based on standardized mental health questionnaires. Chatbot Interaction: An AI-powered chatbot interacts with users to provide personalized advice and recommend professional help if necessary. The chatbot also serves as a conversational agent to answer common mental health-related queries. User Interface: The application features an intuitive and accessible interface, making it easy for users to navigate and complete assessments. Target Users: The primary users of Menti Check are students and college students who might be experiencing stress, anxiety, or other mental health issues. The application aims to provide an accessible and non-judgmental platform for these users to seek initial guidance and support. Reflections and Learning Outcomes: Developing Menti Check was an invaluable learning experience. It allowed me to apply theoretical knowledge to a real-world problem, enhancing my skills in machine learning, data science, and web development. I also gained a deeper understanding of the importance of mental health and the potential of technology to provide support.