Srujana Rachamalla

Detail-oriented individual with exceptional communication and project management skills. Proven ability to handle multiple tasks effectively and efficiently in fast-paced environments. Recognized for taking proactive approach to identifying and addressing issues, with focus on optimizing processes and supporting team objectives. Driven Database Architect with [Number] years of experience in full lifecycle development. Goal-oriented team player succeeds working with various colleagues and clients by maintaining communication. Motivated with keen analytical, problem-solving and task management abilities.

Data hiding and storing using Visual Cryptography and Steganography 

• Implemented Visual Cryptography using the AES algorithm to securely encrypt and split data into multiple shares, ensuring high confidentiality and data protection.
• Developed a user-friendly UI with Python libraries, facilitating easy interaction with the cryptographic and steganographic functionalities for seamless data management.
• Applied Steganography with the LSB algorithm to discreetly embed secret information within image files, enhancing data concealment and privacy.

Live Emotion Detection in Video Conferences 

• Developed a facial expression emotion detection model using Convolutional Neural Networks (CNNs), leveraging advanced computer vision and machine learning techniques for real-time emotion analysis.
• Integrated the model into video conferencing platforms, enabling live emotion detection to enhance virtual communication by providing insights into participants' emotional states.
• Optimized model performance through data preprocessing and augmentation techniques, achieving high accuracy in detecting a range of emotions from facial expressions in diverse video conferencing environments..

Disease Prediction project

• Developed a comprehensive disease prediction web application utilizing machine learning techniques, integrating Support Vector Machines (SVM) for accurate and efficient disease diagnosis based on user-reported symptoms.
• Implemented a user-friendly interface using the Django framework, ensuring accessibility and ease of use, which facilitated seamless interaction between users and the application for early disease detection.
• Conducted extensive testing and validation of the prediction model to ensure reliability and precision, addressing challenges in the medical field and significantly enhancing early detection and treatment capabilities.

• Security, Compliance and Identity Fundamentals, Microsoft.
• Full Stack Web Development Certification, Techbrain.