Hello,
I'm Tushar Zanke, an enthusiastic undergraduate student from VIT Pune, and I'm eager to bring my expertise to your project involving the classification of the quality of fruits and vegetables using deep learning and machine learning techniques.
In my recent project on hyperspectral image classification, I introduced a machine learning model for the spectral unmixing process that outperformed other regression models. Additionally, I fine-tuned an SVM model, increasing accuracy from 82% to an impressive 94%. This research paper has been accepted for publication in the MECS Press journal, underscoring my commitment to delivering high-quality results.
My skills align seamlessly with your project requirements:
Strong Background in Deep Learning and Machine Learning: Demonstrated in my successful projects where I pushed the boundaries of accuracy.
Experience with Image Classification and Computer Vision: Proven in my recent work with hyperspectral image classification.
Familiarity with TensorFlow and PyTorch: Proficient in these frameworks to ensure the best implementation for your project.
Ability to Preprocess and Analyze Large Datasets: Shown through my work with diverse datasets in image classification.