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Tensorflow

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Computer Vision With Audio Aid
Specifically designed for blind people. Gives a description of detectable things in a given image/frame.
Human Activity Recognition
Evaluated various deep learning models (CNN, CNN‑LSTM, LSTM‑CNN, LSTM, CNN‑GRU,GRU‑CNN, GRU), including convolutional, gated recurrent, and long short‑term memory networks, for accurate human activity recognition
Graph Neural Network Based Delay Estimation of Large Computer Networks
Utilized graph neural network (GNN) based route estimation using routenet to analyze the impact of node and path interactions on network performance metrics, enabling efficient network design and optimization.
Head Pose Detection
Designed and developed a sophisticated model for accurately detecting the pose of a person’s head. Enhanced the model’s predictive capabilities to achieve significant improvements in accuracy and performance
Image Repainting
Developed a sophisticated repainting solution where one can select an object through prompts (click, text, or mask) and repaint it to the desired color without any shadow or lighting issues.