Habib Mohammed Yamani

Passionate software developer with hands-on experience in Python and strong skills in Java, C, and C++. Known for delivering quality work and solving challenges with creative solutions. Draws on a background in coding literature and chess to think critically and improve problem-solving skills. Ready to contribute to innovative projects.

• Severity of cyberbullying using ML, Machine learning helps identify cyberbullying by analyzing online interactions, making it easier to detect and stop harmful behavior, and even prevent it from escalating. This technology helps platforms keep online spaces safer for everyone.
• Different stages of heart disease prediction using ML, Machine learning for heart disease prediction entails collecting patient data, selecting key features, training models, validating performance, and applying them to predict various disease stages based on individual risk factors. Continuous monitoring ensures accuracy, allowing for early detection and personalized care.
• Thyroid disease prediction using ML, Thyroid disease prediction with machine learning means gathering patient data, choosing important features, training models, checking how well they work, and then using them to predict who might have thyroid issues. Keeping an eye on things helps make sure the predictions stay accurate over time, helping catch problems early and tailor treatments.

• English
• Hindi