Muhammad Hamza's Work | ContraWork by Muhammad Hamza
Muhammad Hamza

Muhammad Hamza

AI Developer | ML / DL Engineer | Automation Harness Agents

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Sukkur, Pakistan

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Sukkur, Pakistan

Cover image for Dental Assistant is an AI-powered
Dental Assistant is an AI-powered conversational Agent designed to streamline patient intake and appointment scheduling for dental clinics. This project addresses the gap between the onset of patient symptoms and professional care by providing immediate, empathetic triage. Dental pain can be stressful, and calling a busy clinic might feel intimidating. Dental bridges this gap by offering a frictionless, always-available point of contact. Key Features: - Empathetic Symptom Triage: Engages users in natural conversation to assess pain duration, location, and accompanying symptoms (e.g., fever, swelling). - Non-Diagnostic Guidance: Offers preliminary insights (e.g., potential wisdom tooth issues or infection) while emphasizing the need for professional medical attention. - Seamless Scheduling: Integrates Calendly directly into the chat flow, allowing patients to book a 30-minute consultation effortlessly. - Modern UI/UX: Features a sleek, intuitive dark-mode interface with clear chat bubbles and a friendly, reassuring persona. Tech Stack (Inferred): Built with React/Next.js for the frontend, integrated with an LLM (like OpenAI) for natural language understanding, and Calendly API for scheduling.
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Cover image for We've all been there: spending
We've all been there: spending 30 minutes browsing Netflix, only to re-watch The Office for the 10th time. I wanted to fix that "what should I watch?" problem. So, I built a custom neural network from scratch using TensorFlow/Keras. It analyzes massive datasets of user behavior and maps complex relationships between viewers and films. The result? A highly accurate recommendation engine that serves up the perfect top 5 movies based on individual taste. It's like giving every user their own personal film buff.
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Cover image for Your business needs a front
Your business needs a front desk that never sleeps! I developed a custom RAG chat agent that takes the friction out of scheduling. From answering specific queries to booking the actual appointment and sending confirmation details, it handles the entire customer journey flawlessly. No more back-and-forth emails or phone tag. Just seamless, automated calendar management. Ready to upgrade your booking process? Let's build your agent.
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Retrieval-Augmented Generation (RAG) Conversational Agent Built using Python and FastAPI, the backend leverages RESTful APIs and asynchronous processing to ensure high-speed data handling and seamless system performance. The architecture is optimized for scalability, security, and maintainability, making it suitable for high-volume processing environments. A dedicated test UI was developed to validate system functionality, improve usability, and ensure a smooth user experience. The interface is structured with staff convenience in mind, enabling intuitive navigation, simplified data access, and efficient task management — ultimately improving productivity and reducing operational complexity.
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