Gopu Abhinav Vamsi

Fast, adaptable engineering student with a passion for continuous learning and skill enhancement. Experienced in data analytics, dedicated to creating valuable products with societal impact. Committed to delivering excellence in every project.

COVID-19 Detection Using CNN

• Developed a deep learning model to detect COVID-19 from chest X-ray images using Convolutional Neural Networks (CNN).
• Implemented data preprocessing and augmentation techniques to improve model generalization.
• Used TensorFlow/Keras for model design and training, with hyperparameter tuning for optimal accuracy.
• Evaluated the model using classification metrics like precision, recall, and F1-score.
• Technologies Used: Python, TensorFlow, Keras, NumPy, OpenCV, Matplotlib

Deepfake Detector

• Built a deepfake detection system capable of identifying manipulated images and video frames to help prevent misinformation and cybercrime.
• Utilized TensorFlow and OpenCV for data processing and model development.
• Employed VGG-19 CNN architecture and explored autoencoders to enhance detection performance.
• Achieved a detection accuracy of ~93.7%, indicating strong practical applicability.
• Technologies Used: Python, TensorFlow, OpenCV, VGG-19

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

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