Deep Learning



Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today.

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
Audio Denoiser
Engineered an innovative real-time audio denoising system to effectively filter out ambient noise
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.
User Pipeline
Developed a user AI agent that automates user modifications to AI output, enhancing user experience and streamlining workflows.Conducted thorough analysis of user preferences and modifications to enhance optimal outcomes Seamlessly integrated the workflow onto cloud platforms for enhanced accessibility and collaboration
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.