sudheer reddy User

I built healthcare-focused machine learning projects that classify fractured bones from X-ray images and detect blood groups through image processing.

For fractured-bone classification, I used CNN-based feature extraction and Random Forest classification to improve accuracy and reduce manual diagnosis errors. For blood-group detection, I developed a Deep Neural Network solution optimized with the Firefly Algorithm, achieving over 98% prediction accuracy.

During my IoT internship in Hyderabad, I worked with C programming, microcontroller fundamentals, embedded systems, sensors, device communication, and SDLC-based project development.

I'm eager to apply my Python, data science, machine learning, and IoT knowledge while continuing to learn and contribute to an organization.