Chameleon-company/MOP-Code
May 2025 – Sep 2025
2 Months active
Languages Used
JSONPythonShellMarkdown
Technical Skills
AI/MLBackend DevelopmentChatbot DevelopmentCode CleanupCode OrganizationData Preprocessing
sarthak022602
PROFILE
Sarthak022602
Sarthak Dutta developed AI-driven conversational health support features for the Chameleon-company/MOP-Code repository, focusing on mental health chatbots and scalable project structure. He built a prototype counseling assistant using Python and Hugging Face Transformers, fine-tuning a Flan-T5 model on the MentalChat16K dataset to deliver empathetic, context-aware responses. Sarthak improved deployment flexibility by introducing environment-based Flask debug controls and reorganized code assets for maintainability. He enhanced onboarding and privacy awareness by updating documentation with clear setup, API, and governance details. His work demonstrated depth in backend development, conversational AI, and project management, establishing a foundation for privacy-conscious, collaborative chatbot projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
5
Lines of code
128,724
Activity Months2
Your Network
98 people
Work History
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for Chameleon-company/MOP-Code: Delivered user-facing enhancements focused on health support and contributor onboarding. Implemented an empathetic mental health counseling assistant with tailored coping strategies, and updated the Gemini Health Chatbot project documentation to provide a clear overview of features, tech stack, setup, API endpoints, deployment steps, privacy considerations, limitations, and roadmap. These efforts establish a foundation for scalable, privacy-aware patient support and streamlined onboarding. No major bugs fixed were recorded in this period based on the provided data.
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for Chameleon-company/MOP-Code: Delivered user-facing enhancements focused on health support and contributor onboarding. Implemented an empathetic mental health counseling assistant with tailored coping strategies, and updated the Gemini Health Chatbot project documentation to provide a clear overview of features, tech stack, setup, API endpoints, deployment steps, privacy considerations, limitations, and roadmap. These efforts establish a foundation for scalable, privacy-aware patient support and streamlined onboarding. No major bugs fixed were recorded in this period based on the provided data.
September 2025
May 2025
6 Commits • 3 Features
May 1, 2025Month: 2025-05 — Focused on delivering AI-driven conversational capabilities, deployment flexibility, and maintainable project structure within Chameleon-company/MOP-Code. Delivered a mental health chatbot prototype using a fine-tuned Flan-T5 model (trained on MentalChat16K) with deployment-ready setup; initiated Gemini and Flan-T5 chatbot projects including an exploration notebook and a runnable script for basic usage. Improved deployment flexibility by enabling Flask debug mode control via FLASK_DEBUG environment variable for safer, environment-specific configurations. Completed a major project structure cleanup and reorganization, removing unused notebooks and relocating chatbot assets under clearer, scalable folders (artificial-intelligence/T1_2025 and T1_2025_LLM_Chatbot) to improve maintainability and collaboration.
May 2025
6 Commits • 3 Features
May 1, 2025Month: 2025-05 — Focused on delivering AI-driven conversational capabilities, deployment flexibility, and maintainable project structure within Chameleon-company/MOP-Code. Delivered a mental health chatbot prototype using a fine-tuned Flan-T5 model (trained on MentalChat16K) with deployment-ready setup; initiated Gemini and Flan-T5 chatbot projects including an exploration notebook and a runnable script for basic usage. Improved deployment flexibility by enabling Flask debug mode control via FLASK_DEBUG environment variable for safer, environment-specific configurations. Completed a major project structure cleanup and reorganization, removing unused notebooks and relocating chatbot assets under clearer, scalable folders (artificial-intelligence/T1_2025 and T1_2025_LLM_Chatbot) to improve maintainability and collaboration.
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture90.0%
Performance85.0%
AI Usage47.6%
Skills & Technologies
Programming Languages
JSONMarkdownPythonShell
Technical Skills
AI/MLBackend DevelopmentChatbot DevelopmentCode CleanupCode OrganizationConversational AICustomer Service AIData PreprocessingDeep LearningDocumentationEnvironment VariablesFine-tuningFlaskHugging Face TransformersJupyter Notebooks
Repositories Contributed To
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