Tooba Khaliq
AI Agents, Automation & Backend Developer
- 9
- Followers
I built FrameFlow for the Lovable Challenge.
Live Project: https://framefoundstudio.lovable.app
Live Project Studio Login: https://framefoundstudio.lovable.app/auth
Meet Ayesha, a solo photographer in Karachi. Most of her customers reach out through WhatsApp or Instagram, asking about availability, pricing, booking, and rescheduling.
The problem wasn't getting inquiries. It was everything that happened after them.
FrameFlow turns a natural-language customer inquiry into a confirmed booking:
→ Customer describes what they need
→ AI understands the request
→ Real availability is checked
→ Customer chooses a suitable time
→ Booking is confirmed
→ Owner dashboard updates automatically
→ Reminders and follow-ups are scheduled
→ Customers can reschedule without another conversation
The goal: remove the repetitive back-and-forth while keeping the booking experience simple for the customer.
Built with Lovable, React, TypeScript, Tailwind, and Supabase.
#LovableChallenge #Lovable #AI #NoCode #ProductDesign #Automation
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AI-Powered Ecommerce Social Media Automation
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What if your online store could market itself? 🤖
I’ve been building an AI-powered social media automation platform that turns ecommerce products into ready-to-publish marketing content.
The workflow can:
→ Connect to an ecommerce store
→ Sync products automatically
→ Generate social media content with AI
→ Create product-focused visuals
→ Prepare posts/stories for social platforms
→ Schedule and publish content
→ Keep product marketing running with minimal manual work
The bigger idea isn’t just “AI-generated posts.”
It’s building an automated marketing workflow around the actual products in your store.
This is the kind of automation I enjoy building: connecting APIs, AI agents, ecommerce systems, content generation, and social platforms into one practical workflow.
If you're running an ecommerce business and still creating every product post manually, there’s probably a lot that can be automated.
#AIAutomation #Ecommerce #AI #MarketingAutomation #SaaS #Automation #Contra
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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
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