Gopu Abhinav Vamsi

Results-driven Computer Science Engineering student with a solid foundation in Data Structures, Algorithms, and Software Development. Proven ability to apply analytical skills to solve complex problems, demonstrated through successful project implementations and collaborative team efforts. Eager to leverage technical expertise in programming languages and software tools to contribute effectively in a dynamic tech environment.

• Data Science for Enginners [NPTEL]
• Data Analyst [Udemy]
• Machine Learning[Udemy]
• MLOps[Udemy]

COVID-19 Detection Using CNN Deepfake Detector

• Developed a deep learning model using Convolutional Neural Networks (CNN) to detect COVID-19 from chest X-ray images.
• Performed data preprocessing and augmentation to improve model generalization and accuracy.
• Designed and trained the CNN using TensorFlow/Keras, and applied hyperparameter tuning for optimal performance.
• Evaluated model performance using classification metrics such as precision, recall, and F1-score.
• Implemented the project in Python, utilizing libraries including NumPy, OpenCV, and Matplotlib for data handling and visualization.
• Built a deepfake detection system to identify manipulated visual content in both images and video frames, aiding in the prevention of cybercrime and misinformation.
• Used TensorFlow and OpenCV for comprehensive data preprocessing and model implementation.
• Employed the VGG-19 CNN architecture and experimented with autoencoders to enhance detection performance.
• Achieved an accuracy of ~93.7%, demonstrating strong potential for real-world use in digital security and content verification.

• IIT Advanced Qualified
  Qualified for IIT Advanced with an All India Rank of 12,701 securing offers from IIT Bhubaneswar and IIT Tirupati
• Gold Medalist in Table Tennis (Regional Level)
  Won the Gold Medal in Table Tennis at the regional level.