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AI-Powered Website Chatbot & Admin Console
- Published
- Oct 1, 2025
- Technologies
- AI/MLRAGPythonReal-time AnalyticsLead Tracking
- Quick Access
- Source CodeLive Demo
Built a RAG-based chatbot with smart lead tracking, real-time admin console, and hot-reload content management for enhanced visitor engagement and conversion.
The Challenge
Websites struggle with visitor engagement and lead capture. Traditional chatbots lack context awareness and fail to provide accurate, site-specific information. Manual lead tracking misses valuable visitor insights, resulting in lost conversion opportunities.
Solution & Approach
- RAG Implementation: Embedded site-specific, citation-based chatbot using Retrieval-Augmented Generation (RAG) for accurate, contextual responses with optional one-way voice for faster replies
- Admin Console: Built comprehensive dashboard logging every interaction (Q&A, feedback) with device/location metadata and session analytics for real-time monitoring
- Smart Lead Tracking: Implemented unique visitor ID system connecting callback/appointment requests with complete interaction history including time on site, query history, device & location data
- Hot-Reload System: Added owner-editable content management with instant reindexing - updates reflected in chatbot within seconds
- Security & Optimization: Secured with JWT & domain-restricted CORS; optimized costs via intelligent caching and model tiering
Tech Stack & Tools
PythonRAG (Retrieval-Augmented Generation)JWT AuthenticationCORS SecurityReal-time AnalyticsVoice IntegrationContent Management System
Impact & Results
+45%
Visitor Engagement
High-context follow-ups
Lead Quality
< 2 seconds
Response Time
60% via caching
Cost Reduction
Real-time reflection
Content Updates
Project Visuals
Chatbot interface with voice input
Admin analytics dashboard
Smart lead tracking system
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