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Abdul Muqeet
I am a Computer Science Engineer with expertise in Flutter and React Native development, specializing in mobile application development and deep learning integration. My primary focus is on building efficient, user-friendly, and AI-powered applications. I developed Glaucomatech: Eye Health Assistant, a mobile application that leverages TensorFlow Lite to detect glaucoma by analyzing retinal images and calculating the cup-to-disc ratio CDR. My work involved training a U-Net model using datasets like REFUGE, ORIGA, and G1020, converting it into TFLite, and deploying it in the app for real-time detection. Beyond mobile development, I have experience in Firebase Realtime Database, SQLite, REST APIs, and UI/UX design. I have also contributed to content writing, technical documentation, and academic research in AI and healthcare technology. I am passionate about leveraging AI in mobile applications, solving real-world problems, and continuously improving my skills in full-stack mobile development and machine learning integration.
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