🌱 About the Project
The idea for MindMitra came from observing how common stress, anxiety, and emotional burnout have become among students, while meaningful mental health support often remains inaccessible or stigmatized. I wanted to build something that feels less like a clinical tool and more like a supportive companion—something people can turn to without fear of judgment.
💡 Inspiration
Mental health conversations are often delayed because people don’t know where to start or feel uncomfortable opening up. This inspired me to create an AI-driven platform that encourages early emotional expression and awareness through simple conversations and journaling.
🛠️ How I Built It
MindMitra is built as a full-stack web application.
The frontend uses React.js with Tailwind CSS for a clean, calming UI, while the backend is powered by FastAPI.
I integrated sentiment analysis to detect emotional tone from user input and used data visualization to show mood trends over time. The focus was on building a meaningful MVP rather than an overly complex system.
🚧 Challenges Faced
One major challenge was accurately interpreting emotions from text, as human feelings are often nuanced. Another hurdle was ensuring smooth frontend–backend communication and designing a UI that feels safe and non-triggering. I overcame these by simplifying emotion categories, refining API responses, and prioritizing user experience over feature overload.
📚 What I Learned
Through this project, I learned how to integrate AI with real-world human problems, balance technical complexity with usability, and think beyond functionality to design empathetic, human-centered technology.
Log in or sign up for Devpost to join the conversation.