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AI-Powered Complaint Management & Chatbot System
PythonFlaskTensorFlowRasaScikit-learnLLM APIs
The Problem
Manual complaint handling systems are slow, inefficient, and lack intelligent prioritization.
The Solution
Developed an NLP-driven chatbot integrated with Retrieval-Augmented Generation (RAG) pipeline for contextual responses and automated ticket creation.
Architecture
Conversational AI backend with LLM API integration, in-app memory retention, analytics dashboard, and automated workflow engine.
Role
AI Systems Engineer
Impact
Reduced response latency and improved ticket resolution efficiency through intelligent classification and semantic retrieval.
Lessons I Learned
RAG pipelines dramatically enhance chatbot accuracy while reducing hallucination in production systems.