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fruit-classifier

Under the guidance of Prof.Koteswar Rao Jerripothula - Developed clustering algorithms for additional features, utilized dimensionality reduction, outlier detection, various classification algorithms, ensemble methods, and k-fold cross-validation.

heart-rate-variability-analysis-using-machine-learning

Machine learning and signal processing techniques to analyze Heart Rate Variability from PPG data. - Preprocessing of PPG signals, feature extraction, and model development with regression models. - The analysis was conducted separately for different groups to consider physiological variations. -The models effectively predicted RR intervals

malaria-detection

Malaria Detection from image cells - Malaria Detection from image cells using extraction techniques Using Machine Learning & Deep Learning models for the classification tasks.

ocr-using-ml

Project for Optical Character Recognition - Prediction of Handwritten digits using machine learning model which is end to end trainable

quaterion

Blazing fast framework for fine-tuning similarity learning models

redhenaudiotagger

respiratory-sound-classification-using-wavelet-denoising-and-deep-learning-

Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification

tank-star-game

A genric clone of the orignal Tanks Stars game - Designed and developed using all the concepts of OOPs. - Includes features like Player vs Player, Saving the Game, Shoting of missiles, Fuel and Heath Bar etc . Tech Stack : Java,