Engineering-on-Data
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Updated
Jul 12, 2024 - Jupyter Notebook
Engineering-on-Data
This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask
Welcome to LookSense, an innovative project delving into facial expression recognition using deep convolutional neural networks. Trained on the FER-2013 dataset from the International Conference on Machine Learning (ICML), LookSense accurately categorizes emotions in grayscale images, offering a robust tool for understanding and interpreting human
Sentiment Analysis for Consumer Behavior Prediction
In the given list of locations of customers who frequently order Pizza we want to find out optimal locations of Pizza Parlours where they should be opened.
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