Projects

These projects are some of the work that I've done during my academics years.

Plant Species Classification [Feb 2024]:

-Implemented a machine learning project to classify plant species based on leaf images using SVM, Random Forest,and CNN classifiers.
-Collected and pre-processed diverse leaf image dataset.
-Extracted features and trained classifiers.
-Evaluated andcompared accuracy of SVM, Random Forest, and CNN.-Demonstrated effectiveness of ML in automated plant species identification.
-Technology used: Python, TensorFlow, OpenCV, Scikit-learn, Matplotlib, Pandas.

Image base Emotion Detection [Mar 2023]:

-Implementation of CNN models including VGG16, VGG19 and AlexNet for identification of human emotions from facial expression.
-Technology used: Python, CNN, OpenCV

American Alphabet Recognition using Sign Language MNIST [Nov 2023]:

-Implemented CNN model for American Sign Language alphabet recognition
-Used MNIST dataset for training.
-Technology used: Python, CNN, OpenCV

Voice assistant (Baymax) [Mar 2021]:

-Implemented a voice assistant using python libraries.
-Technology used: python, SMTP, webbrowser