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Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.
Group project looking at alcohol sales in relation to alcohol-related vehicle crashes, high-school dropout rates, and unemployment rates in Pennsylvania
Developed CNN model with 93% validation accuracy using techniques like Dropouts & Batch Normalization. Using haar cascade of Computer Vision It is then used to detect sunglasses on real time basis
This is a website deployed using Azure Static WebApps and Azure Bot. Inspired from our community service project to educate the rural children who are not going to schools and involving in child labour. The website focus on spreading awareness about importance of Education in Rural Areas.