Projects:

Transfer Learning- Image Classification and Object Detection

• Used pretrained model like VGG16 to classify the images and also used transfer learning technique and trained own labelled dataset.
• Used YoloV3 pretrained models with google colab GPU on images and videos.

Image Classification

• Preprocessed image data with OpenCV and created model with Convolutional, Maxpooling, Dropout, Batch
• Normalization and Dense layers present inside Keras library.
• Tuned the hyper parameters for eg. Kernel size, kernel channels, Activation Function, Strides, Padding, Optimizers etc.
• Used Augmentation technique to decrease over fit of model.

Education:

M Tech (Production, 2021), B.E. Mechanical (2012)

Algorithms:

Regression, Classification, Time Series forecasting (Single), Natural Language Processing (NLP), Object Detection YOLO

Platform:

Spyder, Notebook, Google Colab, Pycharm, VsCode