Tech-viz_Google_solution_challenge

Problem statement

Oil spills devastate marine ecosystems, harming countless creatures and disrupting delicate habitats. Existing satellite detection methods are too slow, leaving animals vulnerable during crucial response times. We need a faster and more accessible solution to save lives underwater.

Proposed solution

This project aims to develop a machine-learning model to identify oil spills using satellite images to protect marine life. By classifying spills early, we can contribute to the UN's "Life Below Water" goal and promote sustainable ocean use.

Technology stack

Language: Python

Deep learning CNN model includes libraries like TensorFlow, NumPy

Tool: Google Colab

Video demonstration link : https://youtu.be/K1cApN7M07k

Dataset drive link: https://drive.google.com/drive/folders/1h0TEgAAiAzlZ9px8mTvk8vMGASkQJzAz?usp=sharing

Steps to run code :

1. Add a dataset link to My Drive or a shared folder in Google Colab.
2. Run step-by-step code snippets.
3. Choose the image for testing from the folder and check the output.

Google Colab link: https://colab.research.google.com/drive/1qWILbk_V-Dk_4NA1FbBqm-7hGG6ksbc9?usp=sharing