Projects

Jarvis-home is my fully local AI assistant running on NVIDIA Jetson Orin Nano. It combines speech-to-text, LLM reasoning, and text-to-speech with an always-improving on-device pipeline, and I actively push upgrades to it almost every day.

VoiceForge VR is an interactive virtual reality project centered on intuitive in-world controls and user interaction flow.

narrAIt is an AI-powered accessibility companion for macOS that helps users understand complex interfaces through real-time guidance. It explains on-screen elements, answers voice questions in context, and points to exact interaction targets without taking over user control.

Advanced depth estimation and 3D reconstruction using RGBD data from pinhole cameras. Implements state-of-the-art algorithms on the NYUD dataset.

An AI-powered accessibility solution that helps visually impaired people navigate their surroundings safely. Uses multimodal prompting (image + text) with Google Vertex API for scene descriptions and navigation assistance. Integrates OpenAI-based GPT voice assistant and fall detection using accelerometers for enhanced safety and independence.

Built an interactive system to inspect intermediate layers of CNNs. Given an input image, architecture, and PyTorch it renders per‑layer activation maps and optionally visualizes filter weights. Added forward hooks and epoch snapshots to step through training for real‑time introspection and debugging

Comparative study of deep learning architectures (ResNet50, VGG16, and custom CNN) for plant disease classification across 38 different classes. Implemented and evaluated models on a comprehensive plant disease dataset, achieving state-of-the-art accuracy in disease detection and classification. Documentation available in the project repository.

Developed an end-to-end system for text-to-image generation using prompt refinement and Stable Diffusion 2.1. Improved prompt quality 3× (ROUGE metrics) via T5-Small, with an average prompt-image alignment of 0.72