Product Developed for CresCon 2024 Hackathon
This document provides user and developer insight into the Tree Carbon Absorption Estimation web application that will aid the administrate with visual display of their own land area for future planning with sustainable development utilising satellite imagery to detect trees within a specified area and estimates the potential carbon absorption of that tree cover.
Would allow the administrate to plan their future choices with sustainability, that will result in
- Direction towards net zero carbon footprint
- Increase Carbon absorption
- Increase O2 production
Estimation will work on the criteria by segmenting image into major 3 parts:
- Total area covered by trees
- Total area covered by Buildings / Construction
- Total area that can be used for plantation
- Python (Flask)
- HTML
- CSS
- Vanilla JavaScript
- PyTorch
- YOLO (You Only Look Once)
pip install -r requirements.txt
cd hackathon
python3 app.py
Abdul Salam M
@abdul-28930
Akshay Prashad M K
@Akshay-Prashad
Farhan M
@FarhanIbrahim03
Muhammad Mafaz
@Mafaz03
Muhammad Hamdan
@Hamdan0712
This project is licensed under the MIT License - see the LICENSE.md file for details
HackathonDemo.mov
HackathonVideo.mp4
