SARATH SATYA SAI DIVVELA

• Developed and deployed Django-based Machine Learning projects.
• Built and implemented supervised learning models for both classification and regression tasks.
• Integrated ML models into web applications to deliver end-to-end solutions.
• Used tools like Scikit-learn, Pandas, and Matplotlib for development and data visualization.

Developed an innovative system leveraging computer vision to monitor employee behavior and ensure compliance with workplace policies, addressing limitations of traditional surveillance methods like privacy concerns and high false alarms.

Designed core modules, including real-time video analysis using object recognition algorithms, data analytics for productivity trends, and a notification system for immediate alerts, utilizing Python and machine learning frameworks.

Enhanced workplace productivity and accountability through ethical, privacy-concern monitoring, offering actionable insights and timely alerts to improve operational efficiency and maintain a secure work environment.

• Developed a Diabetes Risk Prediction system using Machine Learning.
• Applied Random Forest Classifier on a medical dataset with 520 patient records.
• Achieved accurate early detection by analyzing 17 key health attributes.

• Worked on the Gold Price Analysis project using Python and Jupyter Notebook.
• Monitored real-time gold price data from multiple sources.
• Converted international prices into local currencies.
• Analyzed market fluctuations and created insightful visualizations to identify trends.