MOUNIKA SAI YAGANTI

Proactive and versatile professional with a strong background in enhancing community engagement and literacy through leadership roles at NSS and the Telugu Literary Association. Demonstrated excellence in team leadership and event organization, evidencing robust leadership capabilities and technical proficiency. Proven success in boosting volunteer participation and achieving program milestones, showcasing exceptional teamwork and collaboration skills. Aspiring Software Engineer specializing in software engineering, with expertise in Python, Java, SQL, and web development. Currently pursuing a Master's degree in Computer Science at Montclair State University, with a proven track record in innovative project development and meaningful community service involvement. Committed to translating academic knowledge into practical solutions for real-world software challenges.

Shape Organization for Enhanced Design Optimization in Generative Systems Using Clustering Technology

• Applied K-medoids clustering to optimize design processes in generative systems.
• Utilized Python, Scikit-learn for implementing clustering algorithms.
• Grouped similar design shapes and selected representatives in a 2D-Grid for streamlined decision-making.
• Demonstrated method’s effectiveness compared to other clustering approaches through empirical validation.
• Offered valuable insights into machine learning for design optimization and decision-making.
• link: https://ieeexplore.ieee.org/abstract/document/10480726

Object Detection for Blind People

• Developed a wearable device translating visual data into auditory cues using advanced machine learning for real-time object recognition.
• Implemented Python, TensorFlow, and OpenCV for object detection and recognition.
• Enhanced navigation and interaction for visually impaired users by providing spoken descriptions of surroundings.
• Achieved high accuracy and customizability, improving users' independence.
• Device features include real-time updates and customization options for individual needs.

Digi Locker

• Created a secure digital platform for storing and managing essential documents and certificates, accessible from any location.
• Utilized Java, SQL, Spring Boot, Angular, and AWS S3 for development and deployment.
• Ensured document security with robust encryption and authentication mechanisms.
• Designed user-friendly interfaces for seamless document upload, access, and sharing.
• Built for scalability, accommodating growing user bases without performance issues.

Optical Coherence Tomography (OCT)-Based Classification of Retinal Disorders

• Classified retinal disorders using Machine Learning and Deep Learning algorithms on OCT images.
• Employed Python, TensorFlow, Keras, and CNNs for image analysis and classification.
• Enhanced early disease detection and diagnosis accuracy for conditions like macular degeneration and diabetic retinopathy.
• Automated OCT image analysis, reducing manual interpretation needs in healthcare.
• Results presented at academic conferences, showcasing the project's diagnostic impact.