WELCOME
Farzana Fathima
Bridging Python, Java, and machine learning to power next-generation biomedical technology
Project: Smart Knee Brace for Arthritis Patients
Developed a portable, low-cost knee brace system for arthritis patients, using Python for predictive analysis and real-time alerts. The brace, controlled via a mobile app, uses servomotors to assist with knee movement based on gait data and inflammation detection. Python was key in processing sensor data and integrating machine learning for personalized support, improving mobility for impaired individuals.
Project: AI-Based Medical Imaging and Diagnosis Software
Developed AI software to provide accurate and instant diagnosis of medical images, such as X-rays, MRI, and CT scans. Using Python and machine learning, the software processes images to detect markers and diagnose diseases. The implementation focused on identifying tumors and respiratory diseases due to time constraints, aiming to deliver quick, reliable results for medical professionals.
Online Course
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Certified
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Community
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Most Experienced Frameworks
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Programming
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Programming
IOT
Innovation
Secret of Successful Teamwork
Wearable Device
Machine learning
Technology