An experiment intended to create a model that could recognize what symptoms we had, using a speech recognition model to convert speech to text

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An attempt to manually create a Vision-Transformer model from scratch, this model is based on the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, in this attempt I recreated the ViT-B/16 model.

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Used transfer learning method creating a custom Vision-Transformer model that could detect a specific food classes, this model is trained using 20% dataset from PyTorch Food101 dataset, and the model is hosted on HuggingFace Spaces

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The purpose of this project is to compare models between TinyVGG and EfficientNetB0 on which model is better to detect Pneumonia from X-Ray images

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Created an image to caption generator with Transfer Learning and Deep Learning from an Inception V3 model combined into a transformer encoder and decoder model

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First project that is related to data science and machine learning, creating a CNN and training it to be able to accurately detect emotions including Happy, Sad, Angry, Scared, and Shocked

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An experiment to create a functional rating system based on movies, the reason for this project is for movie lovers who at times have troubles to watch good movies, and this system will create a trust-worthy rating system that every movie lovers can rate and view regarding what movies they might find themselves suitable with

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An old school windows game when the internet was not a thing, this game keeps lots of people company when they are bored!

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