
Richard Ochuko developed an interactive AI chat feature with image analysis for the Examguide repository, focusing on backend and data modeling improvements to support image-based queries and interactive learning. He designed and implemented new chat routes and a scalable GeminiMessage schema using Node.js, Express.js, and MongoDB, enabling users to send messages, upload images, and retrieve chat history. Richard refactored the chat architecture for clarity and maintainability, enhancing image referencing and prompt generation to deliver richer, more actionable responses. His work demonstrated depth in AI integration and backend development, resulting in a robust, user-friendly chat experience tailored for educational use.
November 2025 — Examguide (richardtim230/Examguide): Launched AI Chat with Image Analysis (Gemini) and completed backend/data-modeling improvements to support interactive learning and image-based queries. Delivered end-to-end chat capability with image uploads, message history retrieval, and enriched prompts, underpinned by a scalable GeminiMessage schema and new AI chat routes. Refactored architecture to aiChatRoutes and introduced GeminiMessage.js; enhanced image referencing, response formatting, and prompt generation for a more engaging user experience.
November 2025 — Examguide (richardtim230/Examguide): Launched AI Chat with Image Analysis (Gemini) and completed backend/data-modeling improvements to support interactive learning and image-based queries. Delivered end-to-end chat capability with image uploads, message history retrieval, and enriched prompts, underpinned by a scalable GeminiMessage schema and new AI chat routes. Refactored architecture to aiChatRoutes and introduced GeminiMessage.js; enhanced image referencing, response formatting, and prompt generation for a more engaging user experience.

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