
Developed the foundational full-stack scaffolding for the Gemini Mental Health Chatbot within the Chameleon-company/MOP-Code repository, establishing a Flask backend and React frontend with clear setup instructions and baseline configurations. Addressed security concerns by refactoring the evaluation endpoint to return generic error messages and enabling dynamic debug mode through FLASK_ENV, directly mitigating vulnerabilities identified by CodeQL. Improved codebase maintainability by relocating the chatbot to the appropriate subfolder, supporting future extensibility. Leveraged Python, JavaScript, and security best practices to create a robust platform that enables safer deployments and rapid feature development, laying the groundwork for production-ready enhancements and ongoing improvements.
May 2025 delivered foundational, scalable groundwork for the Gemini Mental Health Chatbot, establishing a full-stack scaffold with a Flask backend and a React frontend, plus setup instructions and baseline configurations. Implemented security hardening for the evaluation endpoint and runtime config, addressing CodeQL findings and enabling dynamic debug mode via FLASK_ENV, reducing production risk. Improved maintainability by relocating the chatbot to the correct subfolder. These efforts provide a solid foundation for rapid feature delivery, safer deployments, and future enhancements.
May 2025 delivered foundational, scalable groundwork for the Gemini Mental Health Chatbot, establishing a full-stack scaffold with a Flask backend and a React frontend, plus setup instructions and baseline configurations. Implemented security hardening for the evaluation endpoint and runtime config, addressing CodeQL findings and enabling dynamic debug mode via FLASK_ENV, reducing production risk. Improved maintainability by relocating the chatbot to the correct subfolder. These efforts provide a solid foundation for rapid feature delivery, safer deployments, and future enhancements.

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