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AmidaRichy2024

PROFILE

Amidarichy2024

Developed core backend features for the richardtim230/Examguide repository, focusing on scalable educational content delivery and management. Built an AI-powered lecture note generator API using Node.js and Express.js, integrating the Gemini API for automated, exam-relevant note creation with robust error handling and prompt engineering to enhance content quality. Expanded the system to support efficient management of past exam questions by implementing Cloudinary-backed storage, advanced file handling, and secure upload, retrieval, and deletion routes. Leveraged MongoDB and Mongoose for data modeling, emphasizing maintainability and reliability. The work improved content accessibility, reduced manual effort, and enabled streamlined administration for educational resources.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

15Total
Bugs
0
Commits
15
Features
2
Lines of code
493
Activity Months2

Work History

January 2026

13 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for richardtim230/Examguide focused on delivering scalable, reliable management of past exam questions. Implemented Cloudinary-backed storage, expanded file handling, and robust routes to improve content ingestion, access, and lifecycle controls. The work emphasizes business value through improved performance, scalability, and admin capabilities.

October 2025

2 Commits • 1 Features

Oct 1, 2025

Concise monthly summary for 2025-10 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated. This month, the primary deliverable in richardtim230/Examguide was an AI Lecture Note Generator API integrated with the Gemini API. The endpoint '/api/ai-lecture' enables automated generation of AI-powered lecture notes from a topic, with robust error handling for missing topics, API keys, and Gemini response issues. A second commit refined the system prompt to improve the AI persona, output structure, and content fidelity for more comprehensive, human-like, and exam-relevant educational material. These changes reduce manual effort, improve consistency, and scale access to high-quality study content. No major bugs reported in this scope.

Activity

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Quality Metrics

Correctness93.2%
Maintainability84.0%
Architecture85.4%
Performance82.6%
AI Usage30.6%

Skills & Technologies

Programming Languages

JavaScript

Technical Skills

AI IntegrationAI Prompt EngineeringAPI DevelopmentAPI integrationBackend DevelopmentCloudinary integrationExpress.jsFull Stack DevelopmentMongoDBMongooseNode.jsRESTful APIbackend developmentfile handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

richardtim230/Examguide

Oct 2025 Jan 2026
2 Months active

Languages Used

JavaScript

Technical Skills

AI IntegrationAI Prompt EngineeringAPI DevelopmentBackend DevelopmentFull Stack DevelopmentNode.js