Rakshitha G R

MCA graduate specializing in full-stack web development using the MERN stack. Skilled in React, modern front-end frameworks, server-side development, and API integration. Passionate about building efficient, responsive, and maintainable web applications as a fresher software developer.

Akshaya Clinic – Hospital Management System (React.js, Next.js)

• Built a web-based clinic management system using React.js & Next.js with modular and scalable components.
• Implemented doctor management, patient appointment booking, rescheduling, and cancellations with scalable components and smooth user flow.
• Strengthened skills in modern front-end and back-end frameworks, and real-time data handling.

 Fraud Claims Detection in Healthcare Sector Using AI (Python, ML)

• Built a machine learning model to detect fraudulent healthcare claims and abnormal billing patterns, by integrating US FinThrive raw claim datasets.
• Trained and evaluated (Logistic Regression, Random Forest and XG Boost) models, improving fraud recall from 0.40 to 0.95 after removing leaky variables and data cleansing.
• Developed a Streamlit-based interactive web application enabling real time fraud risk scoring and explanation using global and SHAP insights.

 Online voting Portal(Full-Stack Web Application)

• Designed a secure online voting system with authentication and role-based access.

• Built features for candidate listing, vote casting, and live result generation.

• Ensured transparency, accuracy, and data integrity.

Edge Detection in Image Processing (Python, OpenCV)

• Implemented edge detection algorithms including Canny, Sobel, Prewitt, and Laplacian.
• Extracted object boundaries using gradient analysis for segmentation and feature extraction.

Microsoft Azure AI Fundamentals