PRIYANKA AVAGADDA

User Survey Data Collection and Statistical Analysis of Dental Caries

• Technologies Used: HTML, Python
• Description: Designed an interactive HTML form to gather survey data from users
• Curated the survey results to create a comprehensive dataset from user inputs
• Applied statistical analysis techniques using Python (libraries used: pandas, NumPy, Matplotlib) to extract insights from the dataset
• Used data visualization tools to represent the analysis outcomes

Dental Anomaly Detection in Orthopantomogram (OPG) using Medical Imaging Techniques

• Technologies Used: MATLAB
• Description: Developed an automated pipeline in MATLAB for detecting dental anomalies in panoramic X-rays using preprocessing, segmentation, and SVM-based classification
• Enhanced image quality with normalization and edge detection, extracted features, and visualized results with bounding boxes and reports
• This project demonstrates the potential of AI in improving diagnostic efficiency in dentistry

Actionable AI

• Technologies Used: Python
• Description: Developed a logistic regression model to predict patient responses to antidepressants using simulated clinical data
• Identified the most and least effective drugs, enabling personalized treatment plans and minimizing trial-and-error in prescriptions
• Enhanced decision-making by integrating AI in clinical settings

RESEARCH PAPERS

Locally Aggressive Tumors of Posterior Mandible

• Presented a paper on series of case histories to study the Locally Aggressive Tumors on the posterior region of Mandible at “Case Presentation Convention” held at Priyadarshini Dental College & Hospital, Tamil Nadu, India

Self-Screening of Oral Cancer

• Presented a paper on different sites and the ways to examine and screen the oral cavity for oneself for oral cancers at the 40th State Dental Conference conducted by IDA (Indian Dental Council) in Andhra Pradesh, India.