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adithya-s-k / World-of-AI

WORLD OF AI : An open-source repository for AI-based projects 🚀, from beginner to expert level, helping contributors start their journey in Artificial Intelligence and Deep Learning. Our projects provide hands-on experience to real-world problems👨‍💻. Join our community and contribute to the development of AI-based solutions 👥.
https://www.cognitivelab.tech/
MIT License
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["SentinelAI" PROJECT PROPOSAL] #10

Open prithubanik opened 1 year ago

prithubanik commented 1 year ago

Project Request

"SentinelAI: Harnessing Satellite Vision for Rapid Disaster Response and Life-saving Insights"

Field Computer Vision , DeepLearning
About Predicting High-Impact Areas for Efficient Disaster Response using CNN, GAN, and SVM
Github prithubanik
Email prithubanik123@gmail.com
Label Project Request

https://github.com/prithubanik

Define You

Project Name

SentinelAI

Description

SentinelAI is an innovative project that combines the power of Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), and Support Vector Machines (SVM) to predict and prioritize the most heavily impacted areas during disasters. By leveraging advanced machine learning techniques, SentinelAI aims to optimize rescue efforts and save lives by accurately identifying areas requiring urgent attention.

Scope

[Objectives: The project aims to develop and implement a CNN-based model to analyze satellite imagery and predict heavily impacted areas during natural disasters, facilitating efficient rescue operations and resource allocation.

Deliverables: The project will deliver a trained CNN model capable of identifying and classifying areas with severe damage or potential hazards, along with an integrated GAN and SVM model for data augmentation and prioritization. A user-friendly interface or API will also be provided for real-time input and prediction.

Constraints: The project's constraints include limited availability of labeled satellite imagery for training, potential variations in disaster scenarios, and computational resource limitations for model training and inference. Time constraints and the need for continuous model updates to adapt to evolving disaster situations are also considered.]

Timeline

[Start date : the assigned date End date: August 10 2023]

adithya-s-k commented 1 year ago

@prithubanik are you a part of GSSOC ?

I will assign this issue to you but before that please tell me more about the data set.

prithubanik commented 1 year ago

hey @adithya-s-k , yes I'm part of GSSoC'23 As contributor, regarding the dataset we can use Specific Absorption Rate (SAR) images for monitoring disaster. Currently I'm having SAR image dataset of Turkey earthquake which is around 7gb. There r many organization which provide Satellite generated images for research and project work for free. Thank You

prithubanik commented 1 year ago

@adithya-s-k , please Assign the project

adithya-s-k commented 1 year ago

@prithubanik

I am thrilled to receive your project request! Your idea is truly fascinating and I am eager to see it come to life.

To ensure the project runs smoothly, please follow all guidelines provided. If you are working on an AI, ML, or DL project, we kindly ask that you create a folder for your project within the respective folders and submit your progress accordingly. Please do follow the project readme template To ensure that everyone has a fair chance to participate, we kindly request that you complete 75% of the work within the first week of receiving the issue, and the remaining 25% within the next 3 days(10 days in total). If for any reason, you fail to meet this deadline, we will assign the task to someone else who is equally enthusiastic about contributing to this project.

If you have any questions, feel free to contact me via email or Discord or reach out to our team of project mentors.

Thank you for your contribution and let's make this project a huge success!