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VideoWaste Image Classification Project with CNN and TrashNet. Core strengths include TensorFlow. Education includes Minor, Indian Institute of Technology Mandi (2025) and Bachelor of Science, MGM College of Computer Science and Information Technology Kamothe. AI-training focus includes data types such as Image and labeling workflows including Classification.
It helps in understanding the real vs fake image just . Act as an solution for the deep fake image frauds are emerging the revolving AI world
The candidate developed a convolutional neural network using TensorFlow to classify waste images into six predefined categories. Data preprocessing, augmentation, and visualization methods were implemented to enhance image classification accuracy. The project leveraged the TrashNet dataset and deployed classification models via web apps for practical application purposes. • Developed image classification models targeting waste sorting applications. • Leveraged data preprocessing and augmentation for improving model performance. • Evaluated and validated the labeled datasets using established metrics. • Deployed real-time classification for user-facing waste identification interfaces.
Minor, Data Science and Machine Learning
Bachelor of Science, Information Technology
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