Lung disease detection using segmentation
I am currently leading an innovative research project focused on developing an advanced deep learning model for accurate lung disease detection through segmentation. Our primary goal is to create a novel model that achieves high accuracy in identifying various lung pathologies. We aim to surpass existing approaches in the field. Collaborating with medical experts, we are ensuring the model's clinical relevance and fine-tuning its capabilities. This research represents my passion for leveraging technology to revolutionize healthcare diagnostics.
July 2023-Present
Music Genre Classification
Utilizing my passion for both machine learning and music, I undertook an ambitious project to develop a sophisticated music genre classification system using LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) neural networks. This project allowed me to combine my technical expertise in deep learning with my deep appreciation for the art of music.
July 2023
ImageOrgPro
Developed the backend and frontend for ImageOrgPro. Utilized Node.js and EJS to create a robust server infrastructure. Integrated EJS templating engine for dynamic content rendering. Implemented RESTful APIs to enable smooth communication between frontend and backend components. https://svvrinfra-jdlq.onrender.com/
June 2023 - July 2023
Irrigation Automation
I have worked on a modular type irrigation automation project. Our innovative irrigation automation project redefines traditional farming practices by offering a versatile and efficient solution designed to conserve water, optimize crop yields, and simplify the lives of farmers and gardeners. At its core, we seamlessly integrate real-time soil health monitoring into the system to make data-driven decisions about when and how much water to deliver to the plants, thereby ensuring that crops thrive under ideal conditions.
August 2022 - December 2022
Optimized Smart Energy Exchange Strategy
Optimize energy exchange costs using an Iterative Matching Strategy. Efficiently connect sellers and buyers in the network, fostering cost-effective transactions, including grid-based exchanges. Leverage advanced algorithms, AI, and data analytics for precise matching. Employ smart grid integration, blockchain, and incentives to enhance transparency and sustainability. Ensure regulatory compliance, educate stakeholders, and establish feedback mechanisms for continuous improvement. This approach promotes efficient energy exchange, reducing costs and contributing to a resilient energy network.
August 2023 - Present
