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Case StudyBackend & AI Systems Architect

AI Chatbot & Computer Vision System

Intelligent chatbot system with Computer Vision models for automated visual analysis

Stack:PythonNode.jsMongoDBAzure AIGoogle Cloud VisionKubernetes
AI Chatbot & Computer Vision System

Project Overview

Background & Objective

Architected scalable AI systems with agentic workflows for a Chatbot platform integrated with Computer Vision models. Developed features for automated image/video deduplication and intelligent content analysis. Optimized backend architecture reducing downtime by 35%.

Narrative

Challenge, Solution & Impact

The Challenge

Integrating multi-modal AI models into real-time conversation flows while maintaining strict response latency SLAs.

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The Solution

Orchestrated model services behind asynchronous workflows, cached repeatable analysis, and exposed reliable APIs that separate conversational and visual-processing workloads.

🎯

Results & Impact

Reduced platform downtime by 35% and automated visual data deduplication across enterprise asset libraries.

Visual Showcase

Screenshot Gallery

AI Chatbot & Computer Vision System screenshot 1
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