Project: Waste Classification System (Computer Vision – CNN)
ImageClassification
For the Waste Classification System project, I collected and labeled image datasets for use in a computer vision model. My responsibilities included cleaning, preprocessing, and evaluating dataset quality to support model training and evaluation. I identified misclassifications and improved dataset consistency throughout the project lifecycle. • Labeled images for organic vs inorganic waste classification
• Cleaned and preprocessed image data for machine learning
• Assisted in training and testing a convolutional neural network (CNN)
• Ensured data quality through regular evaluation and validation
For the Waste Classification System project, I collected and labeled image datasets for use in a computer vision model. My responsibilities included cleaning, preprocessing, and evaluating dataset quality to support model training and evaluation. I identified misclassifications and improved dataset consistency throughout the project lifecycle. • Labeled images for organic vs inorganic waste classification • Cleaned and preprocessed image data for machine learning • Assisted in training and testing a convolutional neural network (CNN) • Ensured data quality through regular evaluation and validation
2024 - 2025