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I am a final-year undergraduate majoring in Computer Science at Jawaharlal Nehru Technological University, Hyderabad. I am interested in the applications of Machine Learning in Healthcare. Currently, I am a research intern at University of Cincinnati working on biomedical image analysis. Besides research, I enjoy being a part of various communities, volunteer, draw and read books.
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I'm interested in deep learning, machine learning, and image processing. I would like to explore more of computer assisted diagnosis and prognosis for medical imaging. |
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Harshitha Voleti, Aashitha Tellakula, Jahnavi Chilakapati Group Project (Academic) [ Code] Ongoing |
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Harshitha Voleti Personal Project [ Code] (Deep Learning) Designed and implemented a convolutional neural network to detect Pneumonia from Chest X-Rays. Achieved an accuracy of 92% by performing Data Augmentation |
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Harshitha Voleti Personal Project [ Code] (Linear Regression, KNN, Naive Bayes, Decision Tree, Random Forest, SVM, XGBoost) Analysed the performance of various algorithms for the given dataset. Achieved highest accuracy of 97.43% for KNN and Random Forest. However AUROC revealed KNN performs better compared to Random Forest. |
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Harshitha Voleti Personal Project [ Code] (Deep Learning - ANN , CNN) Implemented ANN in Pytorch and CNN in both Pytorch and Tensorflow on MNIST Data |