Zain Ul Abideen

AI/ML Engineer with hands-on experience in developing chatbots, speech detection systems, and healthcare-focused machine learning models. Skilled in Python, Flask, Dart, MATLAB, and deployment of AI applications. Experienced through internships at eGenieNext and Indus Hospital, with applied research in NLP, VAD, biometric recognition, and healthcare AI. Strong foundation in computer science, currently pursuing BS in Computer Science at COMSATS University. Proven ability to build and deploy real-world AI solutions, mentor peers, and contribute to open-source projects.

• Alpha Assist (FYP, 2025–2026)
  AI-powered digital assistant leveraging advanced NLP for contextual dialogue, VAD + TTS for speech interaction, and task automation and real-time responses.
• Bone Fracture Prediction
  Investigated CNN-based prediction of crack in bones for healthcare applications.
• Palm Print Identification
  Built a CNN model for biometric authentication using palm images.
• Digital Image Processing
  Developed a MATLAB-based system for sign language detection.
• Appointment Chatbot
  Created a neural network + Rasa chatbot with CSV-based scheduling for appointment booking.
• Calling Bot
  Automated voice assistant for appointment booking with speech detection integration.
• Object Detection
  Trained a custom YOLOv9 model with Roboflow for real-world object detection tasks.

• Ultrasound Risk Prediction: Investigated CNN-based risk % prediction across trimester scans.