Projects

LLM chatbot

Fine-tuned Llama-2 using PEFT and LoRA on a Question-Answer dataset to act as a customer support agent.

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Image Segmentation

Developed a U-Net convolutional neural network using the Pix2Pix model for up-sampling and the MobileNetV2 for down-sampling, achieving 93.77% training accuracy and 88.97% validation accuracy.

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Lip Reading using deep learnini

Created and trained a complex neural network intended to understand speech from video footage.

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Style Transfer

Implemented Neural Style Transfer using the VGG16 and VGG19 models. Performed a comraritive study of the performance of VGG16, VGG19 and ResNet-50 models in Neural Style Transfer.

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Hand Written Digit Detection

Implemented a Convolutional Neural Network (CNN) for Handwritten Digit Detection using TensorFlow. Achieved an impressive 96.84% accuracy on the test dataset, demonstrating the model's robust performance. Employed advanced techniques such as hyperparameter tuning and data augmentation to enhance model accuracy.

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