Projects using OpenAI in Islamabad Capital TerritoryProjects using OpenAI in Islamabad Capital TerritoryInForm - 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. AI-Powered Fitness & Wellness Platform
Developed an AI-powered fitness and wellness platform that delivers personalized workout plans, nutrition guidance, and intelligent health coaching through a seamless mobile experience. The application combines AI-driven recommendations with customized fitness programs to help users achieve their health and wellness goals.
A standout feature of the platform is its AI Mood Detection, allowing users to interact naturally with an AI coach that understands their emotional state and provides personalized workout recommendations, motivational guidance, and wellness advice based on their mood. The platform also includes nutrition tracking, workout customization, personalized diet plans, progress monitoring, and a 24/7 AI fitness trainer, creating a truly intelligent and engaging fitness experience.
Key Features
AI Fitness Trainer (24/7)
AI Mood Detection & Personalized Coaching
Personalized Workout Plans
Workout Customization
Nutrition Calculator
Personalized Diet Plans
Goal-Based Training Programs
Progress Tracking & Analytics
User Authentication & Profiles
Responsive & Scalable Mobile Application AI-Powered CRM & Broker Management System for Aladdin Bakers
Designed and developed a comprehensive AI-powered CRM and Broker Management System for Aladdin Bakers to streamline broker operations, program commitment management, budgeting, reporting, and internal communication. The platform centralizes business workflows into a secure, role-based application while integrating advanced AI automation to reduce manual work and improve operational efficiency.
The system includes dedicated dashboards for administrators, brokers, and team members, providing real-time analytics, budgeting insights, commitment tracking, announcements, and performance reports. Built with Laravel and MySQL, it features a scalable REST API architecture and enterprise-level security controls.
Key Features
AI Voice Agent powered by ElevenLabs for voice-assisted submission of long program commitment forms.
n8n automation to streamline workflows and automate repetitive business processes.
AI Chatbot integrated with OpenAI to assist users and provide intelligent data suggestions.
AI Telegram Bot for instant notifications, system updates, and administrator support.
Role-based access control for Admins, Team Members, and Brokers.
Complete Program Commitment Management with approval workflow.
Automatic PDF generation for commitment forms with email delivery to administrators and team members.
Budget Management with automatic calculation of:
Total Budget
Total Expense
Remaining Budget
Interactive dashboard with analytics, charts, and reporting.
Advanced search, filtering, and record management.
Export reports to Excel, PDF, and printable formats.
Daily automated database backups sent directly to administrator email.
Announcement management and internal communication tools.
User profile and account settings management.
Broker account activation, blocking, and activity monitoring.
API IP restriction for enhanced application security.
AI-powered data validation and correction suggestions using the OpenAI API.
Secure authentication and permission-based access throughout the platform.
Technology Stack
Laravel
PHP
MySQL
REST APIs
OpenAI API
ElevenLabs Voice AI
n8n Automation
Telegram Bot API
JavaScript
HTML5 & CSS3
Bootstrap
PDF & Excel Export Libraries
Project Outcome
This enterprise CRM significantly improved operational efficiency by automating broker management, budgeting, reporting, and document processing while reducing manual administrative work through AI-powered automation. The integration of voice AI, intelligent assistants, automated workflows, and secure role-based access provides a modern, scalable solution for managing business operations and broker relationships. Back in 2021 when I started my career as an iOS Developer, this was my first project that I worked on. This is an app where users can connect with friends, create events and invite others etc. I started as a junior developer fixing smaller bugs, then I learnt and refined my skills and became a senior developer. I coordinated with the team on estimating, planning, implementing new features. I along with other team members, redesigned this app, implemented numerous features, fixed memory leaks, implemented AI, stripe payments. It was initially built in UIKit, but while redesigning we chose SwiftUI. Screen by screen in each sprint we completely made it into a SwiftUI app, which reduced the development times by a lot. I learnt a lot while working on this project, actually I learnt both Swift and SwiftUI while working on it. 
