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Third Place – Quantum Solutions for the Environment Challenge (Equal1), 2025 Python, PyTorch, Qiskit, Docker, OpenCV
Developed “Hybrid Quantum Machine Learning for Wildfire Detection”, a quantum science-based solution targeting early wildfire detection.
Designed and trained a hybrid quantum–classical model to classify fire/smoke in images.
Used OpenCV to process video streams and classify individual frames with the model.
Containerised the full workflow with Docker and implemented a microservices-based architecture.
Project Showcase
Terminal Arcade Games - Classic arcade games in your terminal — built with Python, Textual, and Rich
PDF Dashboard With MCP - Streamlit Dashboard to upload, vectorize, view and chat with PDFs (along with mcp server implementation for retreival by other AI agents)
Content Creator AI Agent - Create vertical video content and square images with caption using free stock videos/images from Pexels and MoviePy with Streamlit as the User Interface