Built a comprehensive AI-powered mental health support app designed to serve three key user groups: students, counselors, and administrators. The app provides accessible, personalized mental wellness resources tailored to each user’s needs. For students, the app offers an intelligent chatbot for real-time, empathetic counseling, alongside relaxation and mindfulness modules such as guided meditations and breathing exercises to support emotional well-being. Students can also complete psychological self-assessments to track their mental health and receive customized recommendations. Counselors have access to real-time analytics dashboards that monitor student progress, highlight at-risk individuals, and facilitate timely intervention. This empowers counselors to provide more effective, data-driven support. Administrators manage the platform, overseeing user access, system settings, and overall app performance to ensure a secure and smooth experience for all users. The backend is powered by Firebase, delivering secure authentication, real-time data synchronization, cloud storage, and scalable cloud functions. AI technologies enhance the chatbot’s natural language processing and responsiveness, creating an intuitive and supportive environment for users. This project combines advanced AI, thoughtful UX design, and robust backend architecture to address critical needs in student mental health support.
My Role:
Software Engineer
Year:
2025
As a Software Engineer, I developed CallMind—an AI-powered mental health assistant aimed at supporting student wellbeing. Leveraging Flutter and Firebase, I engineered features such as a smart chatbot for confidential counseling, interactive relaxation modules, and psychological self-assessment tools.
I also implemented real-time analytics dashboards, enabling counselors to track student wellbeing and engagement while ensuring data privacy and security. My focus was on delivering a safe, accessible, and reliable platform that empowers both students and mental health professionals.