AI Chatbot Development Projects in IslamabadAI Chatbot Development Projects in IslamabadInForm - AI-Driven Physiotherapy App for Diagnosis, Rehab & Recovery Tracking
The core problem it solves:
Patients struggle to get timely, structured physiotherapy guidance, while physiotherapists are overwhelmed managing cases, tracking progress, and creating personalized rehab plans manually. Existing systems either lack intelligence or lack control.
This product creates a complete digital workflow where diagnosis, communication, and recovery are all connected into a single system.
What was built:
A full AI-powered physiotherapy platform with mobile apps for patients and a web-based admin system for physiotherapists.
Patients begin by submitting structured symptom data through guided questionnaires. Instead of jumping directly to conclusions, the system uses an AI diagnosis engine to analyze patterns and generate internal clinical suggestions. These suggestions are never shown to patients, they act as decision support for physiotherapists, ensuring every diagnosis remains human-approved.
Once a case is created, physiotherapists review patient data, validate or override AI recommendations, and communicate directly through an in-app messaging system. Every interaction is tied to a structured case, ensuring context is never lost.
The system then moves into recovery management.
Physiotherapists create personalized rehab plans with multi-phase programs, exercise libraries, and video guidance. Patients follow these plans inside the app, logging progress, completing KPI-based milestones, and moving through recovery phases in a structured way.
A key part of the system is the progress tracking engine. Patients log metrics, complete phase-based goals, and unlock new stages only when criteria are met. Physiotherapists get real-time visibility into adherence, performance, and patient feedback, making the system both trackable and measurable.
Alongside this, an intelligent chatbot handles general queries and reduces load on physiotherapists. When confidence is low or cases become complex, the system escalates conversations into structured cases with full context preserved.
Technical architecture:
Built as a scalable mobile-first system using React Native for patient apps and React.js for the admin panel, with a Node.js/Nest.js backend and Python powering AI-driven diagnosis logic. Data is managed through PostgreSQL, with secure authentication and encrypted communication layers.
The AI layer is designed as a support system, not a replacement. It uses LLM-based reasoning to assist diagnosis and continuously improves through feedback loops based on physiotherapist decisions, creating a human-in-the-loop learning system.
Deployed on cloud infrastructure (AWS/GCP), with Stripe integration for subscription-based access and a modular architecture designed for future AI expansion.
Business model built in from day one:
Subscription-based access for patients, with clear pathways to expand into AI-assisted rehab recommendations, outcome analytics, and protocol optimization.
The system is designed to evolve into a data-driven recovery platform where every patient interaction improves future treatment accuracy, turning clinical workflows into scalable intelligence. EmpathAI ā AI Mental Health Chatbot
Developed EmpathAI, an AI-powered conversational application designed to provide empathetic, context-aware conversations through natural language.
The project focused on combining conversational AI with a simple, accessible interface to create a more human-like chatbot experience.
Key Features
AI-powered conversational chatbot for natural-language interactions
Fine-tuned DialoGPT model for conversational responses
Conversational interface built with Streamlit
Firebase integration for storing and managing application data
Context-aware dialogue handling for more coherent conversations
Clean and user-friendly chatbot interface
Deployed through Hugging Face Spaces for public accessibility
End-to-end implementation covering model development, application interface, backend integration, and deployment
Tech Stack
Python Ā· DialoGPT Ā· Hugging Face Transformers Ā· Streamlit Ā· Firebase Ā· Hugging Face Spaces
My Role
AI/ML Engineer ā End-to-End Development
Designed and developed the project from the AI model layer through the user-facing application, including conversational model fine-tuning, application development, database integration, and deployment.
The project gave me practical experience in NLP, conversational AI, transformer-based models, model deployment, and building AI applications around real user interactions. Big Bites Cafe is a real fast-food spot in Mardan, Pakistan. Their old site was a broken ordering portal - 28 of 67 items showed no price, the flagship Doner Pizza was missing entirely, the Book a Table page leaked an admin error message to customers, and the About page literally said "food???we're".
I rebuilt it end-to-end on Base44 -
https://big-bites-mardan.base44.app
THE PRODUCT: multipage, mobile-first, the complete real printed menu with exact prices, all 23 named deals + 4 exclusive pizza deals, custom AI food photography, real-time open/closed hours, WhatsApp throughout, full SEO.
THE AUTOMATIONS (all working, shown in the video)š - Native cash-on-delivery ordering: item modal -
cart -> checkout with free-delivery logic (free in SM
- Owner back-office at /admin: live orders with a status workflow (new -
preparing -> on-the-way -> delivered), reservations,Ā
- Book a Table saves to the database + sends an email notification (replacing the page that used to show customers an admin error)
- AI Superagent trained on the full menu: ask it "best deal for 4 people?" and it correctly pitches the Shawarma Drip (buy 4 get 1 free)
THE STORY - full before/after video: https://github.com/zanni098/bigbites-assets/raw/main/bigbites-story-video.mp4
Public post: https://www.linkedin.com/posts/asad-jehan-zeb-66b920276_giveitaglow-share-7482304323700486144-LHv3
Crafted by Symbiothus -
https://symbiothus.vercel.app Automated Multi-Agent AI Support & Lead Triage Pipeline
Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly.
Project Overview:
This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously.
How It Works (Under the Hood):
Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing.
AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise.
Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine.
Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool.
Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations.
Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram.
Why This Wins Clients (The Value Pitch):
Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data.
Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds.
Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities. ProVA ā AI Chatbot & Call Agent
ProVA is an intelligent AI-powered Virtual Assistant designed to automate customer communication, lead generation, sales, bookings, and support across multiple channels ā 24/7.
ProVA connects your business with customers through Facebook Messenger, Instagram, WhatsApp, Website Chat, and Voice Calls, allowing businesses to respond instantly, qualify leads, answer questions, take bookings, and manage customer interactions without requiring a large support team.
š Omnichannel AI Communication
ProVA brings all your customer conversations into one intelligent communication ecosystem:
Facebook Messenger Integration
Instagram DM Integration
WhatsApp Integration
Website AI Chatbot
AI Voice Call Agent
Mobile & Landline Call Connectivity
Customers can interact with your business through their preferred channel while ProVA provides consistent, intelligent responses.
š¤ AI Chatbot
ProVA's AI chatbot can understand customer questions and provide instant, human-like responses based on your business information.
It can:
Answer FAQs
Provide product & service information
Share pricing and packages
Generate and qualify leads
Collect customer information
Handle inquiries
Schedule appointments
Manage bookings and reservations
Recommend products/services
Share location and business information
Handle customer support queries
Escalate complex conversations to human staff
š AI Call Agent
ProVA's AI Voice Call Agent allows businesses to automate incoming and outgoing calls.
The AI Call Agent can:
Answer calls 24/7
Speak naturally with customers
Understand customer requirements
Answer frequently asked questions
Qualify leads
Capture customer details
Schedule appointments
Handle booking inquiries
Make follow-up calls
Conduct customer surveys
Transfer calls to human staff when required
Connect with both mobile and landline numbers
šÆ Lead Generation & Qualification
ProVA doesn't just answer customers ā it helps convert conversations into business.
The system can automatically identify potential customers, ask qualifying questions, collect their contact details, understand their requirements, and forward qualified leads to your sales team.
š
Booking & Appointment Automation
For businesses such as hotels, restaurants, clinics, salons, gyms, sports clubs, travel companies and service providers, ProVA can automate booking-related conversations.
Customers can enquire about availability, select services, provide their details, and initiate or complete the booking process according to the business workflow.
š§ Business Knowledge & Custom AI
ProVA can be trained around your business's specific information, including:
Products
Services
Prices
Packages
FAQs
Policies
Operating hours
Locations
Promotions
Booking procedures
Customer support information
This allows the AI to respond according to your business rather than providing generic answers.
š„ Human Handover
AI doesn't have to handle everything.
When a conversation requires human intervention, ProVA can transfer the conversation or call to your staff, ensuring customers can always reach a real person when necessary.
š Customer Data & Lead Management
ProVA can capture valuable customer information from conversations, including:
Name ā Phone ā Email ā Requirement ā Service Interest ā Booking Intent ā Lead Status
This creates a structured flow from customer inquiry ā qualification ā sales follow-up ā conversion.
ā” 24/7 Automated Customer Support
ProVA works around the clock, including after business hours, weekends and holidays.
Your customers don't have to wait for office hours to receive an initial response.
š Automated Follow-Ups
ProVA can help businesses follow up with prospects and customers automatically, reducing the number of leads lost because of delayed responses.
š¢ Built for Multiple Industries
ProVA can be customized for:
Hotels & Resorts | Restaurants | Clinics | Hospitals | Gyms & Fitness Clubs | Sports Complexes | Real Estate | E-commerce | Educational Institutions | Travel Agencies | Salons | Automotive Businesses | Corporate Services | Retail & Local Businesses
š ProVA Business Advantage
One AI. Multiple Channels. 24/7 Customer Engagement.
Instead of managing separate customer conversations across Facebook, Instagram, WhatsApp, website and telephone, businesses can use ProVA as a centralized AI-powered customer communication and sales assistant.
ProVA helps businesses:
ā Respond faster ā Capture more leads ā Reduce missed inquiries ā Automate repetitive customer support ā Improve customer experience ā Automate appointment & booking inquiries ā Reduce operational workload ā Increase sales opportunities ā Provide 24/7 customer assistance
ProVA ā Your Business, Always Available.
AI Chatbot + AI Call Agent + Omnichannel Automation = One Complete AI Customer Engagement Solution. 
