Projects using FastAPI in LahoreProjects using FastAPI in Lahore🚀 Built an AI Receptionist for Healthcare — Here's What It Can Do
Managing a healthcare front desk is challenging. Calls, appointment scheduling, patient questions, and administrative tasks often overwhelm staff, leading to long wait times and missed opportunities to deliver a great patient experience.
To address this, I built an AI Receptionist MVP designed specifically for healthcare providers. It can answer calls, schedule appointments, manage inbound and outbound communication, and respond to patient inquiries—all while staying within appropriate clinical boundaries.
Here's what it demonstrated during a live test with our demo clinic, Evergreen Community Health Center:
🧠 Intelligent Patient Conversations
Rather than following a fixed script, the AI understands context and knows its limitations.
✅ Recognized that dermatology wasn't offered and suggested available services instead:
General Practice
Pediatrics
Physical Therapy
Dental Care
✅ Clearly avoided giving medical advice by responding:
"As a receptionist, I'm not qualified to provide medical advice."
✅ Offered the appropriate next steps by either:
Booking a GP appointment for an initial assessment, or
Transferring the caller to clinical staff for medical questions.
📅 Smart Appointment Scheduling
The AI schedules appointments based on both clinic policies and patient preferences.
During the demo, it:
Collected the patient's information.
Suggested the next available appointment.
Adjusted the booking when the patient requested a later time.
Checked clinic operating hours automatically and successfully booked a 5:00 PM appointment before closing.
💳 Administrative Automation
Beyond booking appointments, the AI also handled routine administrative tasks by:
Explaining consultation fees.
Answering policy-related questions.
Confirming referral procedures.
Collecting the patient's email for appointment confirmation.
⚡ Built for Scale
Unlike a traditional reception desk, the AI can handle thousands of conversations simultaneously.
That means:
No busy signals
No waiting queues
No missed calls
Better patient accessibility 24/7
⚙️ Easily Customizable
Every healthcare provider operates differently.
The AI can be configured with:
Clinic-specific services
Staff availability
Business hours
Appointment rules
FAQs
Internal workflows
making it adaptable to virtually any healthcare organization.
This project demonstrates how conversational AI can streamline healthcare operations while allowing staff to spend more time focusing on patient care.
I'm excited to continue expanding its capabilities with integrations such as EMR/EHR systems, multilingual support, voice biometrics, and intelligent call routing.
💬 If you're exploring AI solutions for healthcare, I'd love to connect and discuss how conversational AI can modernize patient engagement.
#AI #ArtificialIntelligence #HealthcareAI #HealthTech #VoiceAI #AIReceptionist #Automation #ConversationalAI #PatientExperience #GenerativeAI #LLM #Innovation Shelfr - AI-Powered Retail Shelf Intelligence Platform
I led the development of Shelfr as the Senior Computer Vision Engineer and Lead Developer, taking the platform from the initial idea and system architecture through development, deployment, and production operations.
My work included:
🔹 Designing the complete computer vision and backend architecture
🔹 Building product detection, shelf analysis, OCR, and image-processing pipelines
🔹 Developing APIs and scalable data-processing workflows
🔹 Deploying and managing production systems on GCP cloud servers
🔹 Optimizing model accuracy, processing speed, and infrastructure performance
🔹 Managing production monitoring, reliability, troubleshooting, and ongoing improvements
🔹 Leading technical decisions across AI, backend, cloud infrastructure, and DevOps
The platform converts real-world retail shelf images into structured product and shelf-level insights, helping automate retail auditing, product visibility analysis, and inventory workflows.
#ComputerVision #RetailAI #LeadDeveloper #AIEngineering #GCP #MLOps #Python #CloudEngineering
