Welcome to ForestFireDetection Discussions!

[akdasUAF]

👋 Welcome!

We’re using Discussions as a place to connect with other members of our community. We hope that you:

• Ask questions you’re wondering about.
• Share ideas.
• Engage with other community members.
• Welcome others and are open-minded. Remember that this is a community we
  build together 💪.

To get started, comment below with an introduction of yourself and tell us about what you do with this community.

[depak-pandey]

Hello Everyone,
I am Deepak Pandey,a 3rd year B.tech student in Artificial Intelligence and Machine Learning.I have done various projects in the field of Machine Learning,Deep Learning,Computer Vision and I am very familiar with all the underlying concepts in these fields.I am proficient in C++,Python,TensorFlow although my skill set extends beyond these areas.
I want to contribute to this project as a part of GSOC'24.What steps should I take to contribute meaningfully to this amazing project?

[akdasUAF]

Hi there, Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.‘ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[kachhadiyaraj15]

Hello Everyone,

I, Raj Kachhadiya, an MTech AI/ML student. My internship experience in self-driving cars using self-supervised learning has equipped me with robust object detection and tracking skills honed further through a personal project where I built an object tracking system with a deep learning model in PyTorch. This combination of academic and practical experience fuels my desire to contribute significantly to this project. I'm particularly intrigued by the potential of leveraging my skills in developing fire detection algorithms, analyzing fire spread patterns, or estimating fire intensity. I'm confident that my proficiency in Python, C++, PyTorch, TensorFlow, Flask, and OpenCV will enable me to seamlessly integrate into your workflow and deliver impactful results.

Beyond technical expertise, I value collaboration and community growth. I believe in sharing insights, actively participating in
discussions, and contributing not only to the technical aspects but also to the overall success of the project. I'm eager to learn from your team and contribute to a solution that can effectively mitigate the devastating effects of forest fires.

[akdasUAF]

Hi there, great to know that you are interested. Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.’ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[witch-world]

Hi,
My name is Huda. I am good at Machine Learning, Deep Learning, and Natural Language Processing. I have done many projects on Deep Learning. I want to contribute to "Forest Fire Tracking from Aerial Images and Measuring its Severity/Intensity" project in GSOC 2024. I am super excited to learn from my mentors and other community members. Thank you.

[akdasUAF]

Hi there, great to know that you are interested. Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.‘ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[KYash03]

Hello everyone,

I'm Yash Kumar, and I am pursuing a Bachelor of Science in Data Science at The University of British Columbia. My expertise lies in data analysis, machine learning, and deep learning.

I've developed and deployed various applications, such as a CNN-Based Pneumonia Detection Web App on GCP App Engine, an iOS app for plant disease identification, and web apps for human activity recognition and breast cancer dataset analysis. I've also gained practical experience through a data science internship where I applied K-means clustering to determine centroids and DBSCAN to detect outliers in analysing transportation data.

I'm looking forward to the opportunity to contribute.

Yash Kumar
Email: kyash03@student.ubc.ca
Personal Website: kyash03.com
GitHub: github.com/kyash03
LinkedIn: linkedin.com/in/kyash03

[akdasUAF]

Hi there…. Please make sure to add some detail of the projects in your application’s CV section. (The problem description, what model you used, what tools you used, how was its performance etc. Precisely yet in detail. It will help us review your application better.

[Shashankss1205]

Warm Greetings,

I am Shashank Shekhar Singh, a second-year student at the esteemed Indian Institute of Technology (IIT) BHU, India.
I have immersed myself in diverse projects encompassing the realms of Machine Learning, Deep Learning, and Computer Vision. Through these endeavors, I have cultivated a profound understanding of these cutting-edge fields, enabling me to navigate their complexities with confidence and creativity.

My proficiency extends beyond conventional boundaries, encompassing languages such as C++, Python, and JavaScript, while also embracing emerging technologies like Tensorflow, PyTorch, Hugging Face and GPT-3.5.

I am eager to contribute my expertise to the GSOC'24 project. Your guidance on navigating the path to impactful contribution would be invaluable as I seek to channel my enthusiasm and skills into this endeavor.

Thank you for considering my interest in this remarkable project. I look forward to the opportunity to make a meaningful difference.

Warm regards,

Shashank Shekhar Singh

[akdasUAF]

Hi there, great to know that you are interested. Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.‘ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[Steveolas]

Hey all!
I'm Ilan Meissonnier, a Data Science graduate from the Technion university in Israel. I would love to contribute to this project as part of GSoC 2024. I have experience modeling and developing deep neural networks and computer vision. I'm also specifically experienced in TensorFlow and Keras.

Looking forward to contribute!
Ilan Meissonnier

[akdasUAF]

Hi there, great to know that you are interested. Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.‘ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[lbhnsh]

Greetings everyone,
This is Labhansh Naik, a Computer Engineering Sophomore from VJTI Mumbai, India. I have experience in machine learning, deep learning, image processing, computer vision. I know a variety of frameworks like PyTorch & TensorFlow. I have done quite a few projects in the CV space and also made a 3D scene reconstruction from image. I would love to be a contributor for this project.

Email: labhanshvnaik2104@gmail.com
Github: https://github.com/lbhnsh

[akdasUAF]

Hi there, great to know that you are interested. Please go through the project description and let us know if you need any information in particular. We will review the merit of your application once you will submit your proposal. You must have all the sections pointed out in the Getting started page Application Template: https://github.com/uaanchorage/GSoC/blob/main/CONTRIBUTOR-GUIDE.md). In your CV section, you should highlight your work/project experience that you think relevant to this project. Write precisely yet in detail about what you did. For example, you should write what type of object you tracked or detect, what was the main challenge, what model/algorithm/technique you used, how was the performance and accuracy, etc. Just writing ‘I have experience in AI/ML/DL/TensorFlow/Pytorch/etc.‘ or just writing ‘I have used CNN/YOLO/Unet/DBN/or-any-popular-model-name’ (something like these) will not help.

[hith3sh]

Hi everyone,
I'm Hithesh, an undergraduate from University of Moratuwa, Sri Lanka.
This project really caught my eye because I've worked with a similar project in my internship period.
I have worked with building faulty alarm capturing system with support from deep neural networks in that time period.
So I think I have the right experience for this project.

Glad to meet you guys and hoping to contribute to this project in future and meet with the mentors.

[akdasUAF]

Hi there…. Please make sure to add some detail of the project in your application’s CV section. (The problem description, what model you used, what tools you used, how was its performance etc. Precisely yet in detail. It will help us review your application better.

[Dhruv16S]

Hi everyone
@akdasUAF I was going through the project repo mentioned here. I was wondering that, as part of GSoC '24, are we supposed to enhance the classification model and extract the necessary frames as bounding boxes or build a new model that performs just as well as the model described in the repo? 

Additionally, is there any code challenge for this project that must be included in our application?

[khetansarvesh]

Greetings Everyone,

I'm Sarvesh Khetan, a recent graduate from BITS Pilani with a specialization in Data Science where I have published a paper on computer vision (https://doi.org/10.4028/p-8EfgQY). I prefer Pytorch over any other deep-learning framework. Currently, I am in the transition phase, gearing up to pursue a master's degree in Data Science at U Maryland College Park, with the possibility of considering admits from UCLA or UCSD. During this interim period, I aim to utilize my time effectively by contributing to open-source projects. Looking forward to learning from all of you : )

Linkedin : https://www.linkedin.com/in/sarveshkhetan/
Github : https://github.com/khetansarvesh

[SINGHGURDEEP19]

Hello everyone,
I'm Gurdeep Singh and I am pursuing a Bachelor of Technology at SRMIST India. I am proficient in machine learning, and deep learning.I have worked on various deep learning problems before such as a CamTrap Detector which detects, classify, and analyse Wildlife Camera Trap Imagery. I will include the detail description of all the problems I have worked on in my application.
I'm looking forward to the opportunity to contribute.

[zz39]

Hello everyone 😊,

I'm Wayne Zhou, currently pursuing a Master's degree in Computer Science at Northeastern University's Seattle campus. My background is in architectural design, with expertise in building information modeling, GIS, and green technology. I'm passionate about projects that have a meaningful impact and solve real-world challenges. Beyond coding, I enjoy fine arts, modern furniture, and exploring nature.

In one of my current projects, I'm developing a predictive model for an employment service agency in Ontario, Canada. The model aims to determine which plan items are most likely to result in a return-to-work outcome based on client characteristics and employment history. Additionally, this semester, I'm learning about AWS cloud computing and have completed a project using AWS SageMaker for machine learning data labeling, model development, and training.

I'm also contributing to an IoT monitoring system for Northeastern University Seattle campus where I configured the data transmittal API between hardware/sensors and cloud data classification/storage. This hands-on experience with hardware will help the deep-learning model deployment on many low-power devices.

I believe this forest fire detection project aligns with my interests and would be a valuable opportunity for me to contribute. I see it as a chance to further develop my skills in machine learning and computer vision, while also contributing to the protection of our environment.

Looking forward to collaborating with you all!