Image Forgery Detection
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Summary
Developed advanced techniques for accurately detecting manipulated or altered digital images, focusing on identifying various forgery types like copy-move, splicing, and tampering.
Highly motivated Artificial Intelligence enthusiast and Bachelor of Technology student with hands-on experience in machine learning, deep learning, and data preprocessing. Completed a 3-month AI internship, developing practical skills in Python, Scikit-learn, and TensorFlow. Eager to apply problem-solving abilities and technical expertise to contribute to innovative AI/ML projects and drive organizational success.
Artificial Intelligence Intern
India
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Summary
Contributed as an AI Intern at Codeiox, gaining practical experience in machine learning and deep learning techniques to develop real-time mini-projects.
Highlights
Developed proficiency in Python, Scikit-learn, and Pandas for data preprocessing and model development, applying these skills in practical AI scenarios.
Executed real-time mini-projects, applying core AI/ML concepts including regression, classification, and clustering, and exploring deep learning fundamentals with TensorFlow.
Acquired foundational knowledge in AI/ML algorithms and their practical implementation, enhancing problem-solving capabilities in a dynamic environment.
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Bachelor of Technology
Technology
Grade: 60%
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Board of Intermediate
Grade: 78%
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Board of SSC
Grade: 78%
Git, GitHub.
Python, C, Java, HTML, CSS.
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Summary
Developed advanced techniques for accurately detecting manipulated or altered digital images, focusing on identifying various forgery types like copy-move, splicing, and tampering.
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Summary
Utilized Python to develop a model for predicting car prices based on key features such as model, mileage, and risk factors.