anishgollakota Goto Github PK

articlebiaschromeextension

Extension scrapes the webpage that a user is on as they browse it. Content from the webpage is set to our backend server where that information is analyzed. There we check whether the content has a political bias or has a high chance of being fake news by running it through LSTM neural networks.

gist-slack-application

Developed an extractive text summarization tool to simplify long conversations between users along with gauging the sentiment of the user.

intoxication-identifier

An iOS application that takes live facial data and predicts whether one is intoxicated.

locationnaire

pneumonia-identification-cnn

Developed a Pneumonia Classification model using TensorFlow 2.0. Based on a picture given by a Chest X-RAY, the model is able to correctly identify 96.2% on unseen data, with a 97% accuracy on the training set.

skin-cancer-classification-with-tensorflow

Using TensorFlow 2.0, developed a model that can take as input a picture of skin at various parts of the body and output a prediction on the type of skin cancer.

spam-classification-using-naive-bayes-model

Using an Scikit-Learn Naive Bayes Model, was able to train a sequential dataset to process the textual data to identify whether the message is spam or not. Able to apply this classifier into messaging platforms outside of the scope of emails.

stock-prediction-using-lstms

Built a stock prediction program in which the user can pick any company available on Yahoo! Finances and be able to predict the closing price of the stock based on the set date with high accuracy.

vscode

Visual Studio Code