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People_Detection
People_Detection PublicPeople detection with a neural network (84.51% acc) to detect people in urban environments using custom-extracted image features. The NN is trained on a dataset consisting of images categorized int…
Jupyter Notebook 1
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Satellite_Image_Classification
Satellite_Image_Classification PublicSatellite image classification using a custom Convolutional Neural Network (CNN), which achieves 96% accuracy on test data . The model is designed to classify images from the EuroSAT dataset into t…
Jupyter Notebook
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Voice_Classifier
Voice_Classifier PublicA Python app for classifying voice recordings using KNN and SVM models. Includes a graphical interface for training, evaluating, and classifying audio data with acoustic descriptors. Designed for a…
Python
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Face_Gender_Classifier
Face_Gender_Classifier PublicA machine learning project for gender classification from facial images using Perceptron and SVM. Trained on a dataset of 2,307 images, both models achieved ~90% accuracy on test data. The project …
Jupyter Notebook
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Face_Detection
Face_Detection PublicA deep learning project that enhances face detection through RLHF, bridging the gap between controlled-environment and real-world performance using MobileNetV2 architecture, transfer learning, and …
Python
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