Salman Hameed
Data Science | Machine Learning | Deep Learning | Generative AI
Data Science | Machine Learning | Deep Learning | Generative AI
🧠 In a world where Alzheimer's disease exacts a profound toll on millions, I'm happy to share a solution: the Alzheimer's Disease Multi-Class Detection system using Convolutional Neural Networks (CNNs). With Alzheimer's manifesting in various forms - Mild Demented, Moderate Demented, Non Demented, and Very Mild Demented - my deep learning model delivers swift and accurate detection, arming healthcare professionals with critical insights for early intervention and care.
💡 Leveraging cutting-edge technology, I've engineered a sophisticated CNN architecture capable of discerning subtle nuances in brain scans with unprecedented precision. Through meticulous training and optimization, my model achieves remarkable accuracy and provides detailed probabilities for each detected class, empowering medical practitioners to make informed decisions swiftly.
⚙️ Behind the scenes, advanced techniques such as transfer learning, fine-tuning, and ensemble learning enhance the model's capabilities, ensuring robust performance across diverse datasets and scenarios. Meanwhile, the seamless user experience offered by my Python Flask-based interface, coupled with Bootstrap 5 and JavaScript, allows users to effortlessly upload and process single or multiple images, democratizing access to vital diagnostic tools.
In a world where Alzheimer's disease exacts a profound toll on millions, I'm happy to share a solution: the Alzheimer's Disease Multi-Class Detection system using Convolutional Neural Networks (CNNs). With Alzheimer's manifesting in various forms - Mild Demented, Moderate Demented, Non Demented, and Very Mild Demented - my deep learning model delivers swift and accurate detection, arming healthcare professionals with critical insights for early intervention and care.