Your best-selling dish could be losing you money.
That insight shaped my dashboard work on DineIQ, a restaurant analytics competition project.
My challenge: turn complex analytics into clear, useful views. I approached it with focused Django dashboards, practical filters, and role-based access—helping managers explore their location’s menu performance and wastage together.
My role covered full-stack integration, UI/UX, dashboards, and architecture. Built with synthetic competition data, DineIQ illustrates why sales volume alone doesn’t tell the full story.
Better decisions start with better visibility.
#FullStackDevelopment #Django #DataAnalytics
Custom sales and distribution management software for BTC Baluchistan Tea Company, covering orders, branches, products, expenses, reports, attendance, and user management.
AI Customer Support Agent with Knowledge Base
Businesses lose valuable time answering repetitive customer questions. I built an AI-powered customer support agent that provides instant, accurate responses by searching company documentation instead of relying solely on a language model.
The assistant uses Retrieval-Augmented Generation (RAG) to retrieve relevant information from PDFs, FAQs, user manuals, and internal knowledge bases before generating responses. Every answer includes source citations, allowing users to verify the information with confidence.
Key Features
✅ AI-powered customer support
✅ Knowledge Base & PDF ingestion
✅ RAG-based semantic search
✅ Conversation memory
✅ Source citations for every response
✅ Enterprise admin dashboard
✅ Responsive web interface for desktop and mobile
Tech Stack
Python
Django
OpenAI
LangGraph
PostgreSQL
RAG (Retrieval-Augmented Generation)
Business Impact
• Reduced repetitive support requests by providing instant AI responses
• Improved customer experience with 24/7 availability
• Increased trust through citation-backed answers
• Centralized company knowledge into a searchable AI assistant
• Scalable architecture for enterprise support teams
Building AI applications isn't just about integrating an LLM—it's about designing reliable systems that deliver accurate, explainable, and production-ready results.
If you're looking to build an AI-powered customer support platform, internal knowledge assistant, or enterprise RAG application, I'd be happy to discuss your project.
#AI #OpenAI #Python #Django #LangGraph #RAG #ArtificialIntelligence #CustomerSupport #KnowledgeBase #SaaS #MachineLearning #EnterpriseAI #Automation #SoftwareDevelopment #Contra #Freelancer