Developed an Automated Data Cleaning App which performs 15 most important data cleaning features i.e. handling missing values, correlation tests, statistical tests, balancing dataset using sampling techniques etc. It reduces the overall data cleaning time by nearly 30-40%.
Built an Image Captioning system using Encoder CNN and Decoder LSTM with an attention mechanism to generate relevant captions for any input image. Analyzed the results using BLEU 3, 4 metrics, and deployed the model in real-time using Amazon SageMaker.
Developed a English news to Telugu language translator application using LSTM. Encased the application in Flask and orchestrated it on AWS by pushing the containerized Flask application to AWS Linux EC2 instance deploying the application in-live.
Created an interactive screening tool using R Shiny that predicts the risk of having a chronic Kidney disease using the Logistic regression model attaining 97% recall. The screening tool can be used by doctors in finding the probablity of Chronic Kidney Disease in patients.