fireheart12/Leaf_Diseases

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fireheart12/Leaf_Diseases

fireheart12

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This endeavor of ours aims to leverage the potential of computer vision and machine learning to automatically identify the diseases in apple leaves.

reverse-oldification

Using Machine Learning to rejuvenate black and white images ! ~~

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SIIM-ISIC-Melanoma-Classification

Skin cancer is the most prevalent type of cancer. Melanoma, specifically, is responsible for 75% of skin cancer deaths, despite being the least common skin cancer. In this project we aim to analyze and identify melanoma in lesion images.

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Chexnet_NIH

Deep Learning based analysis of medical images. This repository tackles the identification of nodule/mass thoracic abnormality in the given chest X-Ray (frontal view).

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Stock_Investment

In this endeavor we worked with historical data of the stock prices of few publicly listed companies and implemented a machine learning model based on Long Short Term Memory(LSTM) in order to predict the future prices.

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Corona_crisis

Analyzing COVID-19 scenario all across the globe, using deep learning.

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