Shubhamsaboo/awesome-llm-apps
Jun 2025 – Jun 2025
1 Month active
Languages Used
CSSHTMLMarkdownPythonTOML
Technical Skills
AI Agent DevelopmentAgno FrameworkDeepFaceDocumentationFastAPILLM Integration
aminaj
PROFILE
Aminaj
Amina Javaid developed the initial AI Speech Trainer feature for the Shubhamsaboo/awesome-llm-apps repository, focusing on multimodal public speaking coaching. She established project scaffolding and cleaned up documentation to streamline onboarding, removing unnecessary license files to reduce setup friction. The feature enables coordinated AI agents to analyze facial expressions, voice, and content, laying the groundwork for future cross-agent workflows. Using Python, FastAPI, and Mediapipe, Amina integrated technologies for multimodal analysis and public speaking feedback. Her work provided a clear foundation for rapid iteration, emphasizing maintainable code structure and documentation to support future enhancements in AI-assisted coaching applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
1,147
Activity Months1
Your Network
36 people
Work History
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 — Focused on launching the AI Speech Trainer feature with initial scaffolding and documentation cleanup. Key feature delivered: AI Speech Trainer project enabling multimodal feedback (facial expressions, voice, content) via coordinated AI agents; commits included Add Project AI Speech Trainer, Removed Individual License, and Removed License from README. No major bugs fixed this month; effort centered on setup and groundwork. Business value: reduces onboarding time, provides a foundation for multimodal coaching capabilities, and clarifies licensing to prevent setup delays. Technologies demonstrated: project scaffolding, documentation cleanup, license management, and planning for cross-agent coordination.
3 Commits • 1 Features
Jun 1, 2025June 2025 — Focused on launching the AI Speech Trainer feature with initial scaffolding and documentation cleanup. Key feature delivered: AI Speech Trainer project enabling multimodal feedback (facial expressions, voice, content) via coordinated AI agents; commits included Add Project AI Speech Trainer, Removed Individual License, and Removed License from README. No major bugs fixed this month; effort centered on setup and groundwork. Business value: reduces onboarding time, provides a foundation for multimodal coaching capabilities, and clarifies licensing to prevent setup delays. Technologies demonstrated: project scaffolding, documentation cleanup, license management, and planning for cross-agent coordination.
June 2025
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance93.4%
AI Usage43.4%
Skills & Technologies
Programming Languages
CSSHTMLMarkdownPythonTOML
Technical Skills
AI Agent DevelopmentAgno FrameworkDeepFaceDocumentationFastAPILLM IntegrationLibrosaMediapipeMultimodal AnalysisOpenCVPublic Speaking CoachingStreamlitWhisper
Repositories Contributed To
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