Do you agree to open source all work you do on behalf of this RFP and dual-license under MIT and APACHE2 licenses?: Yes
Project Description
Building the Future of Drone2Data To Fight Climate Change and Food Security
Mapping real-world maps made easy
Climate change is perhaps the biggest threat facing humanity today. Climate change creates a drier and hotter climate, leading to wildfires that could further accelerate climate change. This forms a perfect positive feedback loop that could shrink our time to address the looming climate crisis. An early fire detection system aimed at detecting fire in the most inaccessible areas or during the night time, when and where the conditions don’t help their early detection, could be an important tool in this battle against climate change. What is more, Project Themistoklis aims to make it easy for anyone to map the real world using drones. That could form the basis for many climate solutions. The NLP model can generate navigation plans for the drones and send them movement commands.
We aim to use drones to capture the real world using cameras and other sensors. The captured data can be used to detect wildfire, survey biodiversity, monitor forest health, and provide valuable information that was once inaccessible. This drone2data tech stack we are developing will be as important in addressing food security when deployed at farms as it will be in addressing climate change.
Development Roadmap
Milestone 1 and 2 : The application will be able to connect to a server and fetch and send data
Milestone 3 : The app will be able to connect to a Tello drone and add it to the 3D world
Milestone 4 : Dryad will act like a normal drone at this stage and will be able to fly around and connect directly with the server.
Milestone 5 : The drones will be able to read actual text.
Milestone 6 : The world will be spawned on the server and drones will update it.
Milestone 7 : Additional CV functionalities
Milestone 8 : Drones will get data through radio and audio.
Milestone 9 : Tools to help builders
Milestone 10 : Weather support through the web.
Milestone 11 : 2d representation of the web in the website/app for current incidents.
Documentation, Education, and Community
We now have a vibrant community on Twitter and on our Discord server.
In order to share our project's knowledge, experience, and most recent news, we will also start a blog.
In terms of education, we will continue to learn by attending conferences like sub0—the polkadot developer conference in Lisbon.
Additionally, we'll read academic books, journals, research papers, and articles, while also writing our own .
Other Deliverables
Specify any other deliverables proposed as part of this project.
Milestone Summary
Milestone No.
Milestone Summary & Staffing
Funding
Estimated Timeframe
1
Core Graphics Engine
$15.000
Done
2
Client Interface and functions
$8.000
4 weeks
3
Drone Connectors
$10.000
4 weeks
4
Dryad (Prototype Drone)
$20.000
11 weeks
5
Text Reader
$2.000
1 week
6
World Building
$60.000
18 weeks
7
Client Upgrade
$10.000
4 weeks
8
Audio Support
$20.000
10 weeks
9
Radio Connection
$8.000
4 weeks
10
Automatation Tools
$6.000
2 weeks
11
App Info
$2.500
1 week
12
Real World Map 2D
$8.000
2 weeks
Total Budget Requested
154.500 $
Maintenance and Upgrade Plans
I am currently the only employee, but I will start looking for a team to work full time on the project as soon as I get funded by a grant.
I have experience with Artificial Intelligence , specifically in computer vision and NLP makes us the best match for this position. We have worked on different projects and managed a team without any problems. Assigned tasks and got back exceeding goals that fit the time frame . Coordinating projects helped us develop better communication and planning skills which are imperative when performing tasks.
The project is both open-source and public research. It will assist users in creating datasets together for various species (trees and animals), but also assist with emerging world issues like wild fires, accidents, and others, using AI algorithms to detect early fires, humans behind debris, etc.
RFP Proposal:
Themistoklis ProjectName of Project: Themistoklis Project
Link to RFP: https://github.com/filecoin-project/devgrants/blob/master/rfps/green-grants.md
RFP Category:
app-devProposer:
https://github.com/alextitonisDo you agree to open source all work you do on behalf of this RFP and dual-license under MIT and APACHE2 licenses?: Yes
Project Description
Building the Future of Drone2Data To Fight Climate Change and Food Security
Mapping real-world maps made easy Climate change is perhaps the biggest threat facing humanity today. Climate change creates a drier and hotter climate, leading to wildfires that could further accelerate climate change. This forms a perfect positive feedback loop that could shrink our time to address the looming climate crisis. An early fire detection system aimed at detecting fire in the most inaccessible areas or during the night time, when and where the conditions don’t help their early detection, could be an important tool in this battle against climate change. What is more, Project Themistoklis aims to make it easy for anyone to map the real world using drones. That could form the basis for many climate solutions. The NLP model can generate navigation plans for the drones and send them movement commands. We aim to use drones to capture the real world using cameras and other sensors. The captured data can be used to detect wildfire, survey biodiversity, monitor forest health, and provide valuable information that was once inaccessible. This drone2data tech stack we are developing will be as important in addressing food security when deployed at farms as it will be in addressing climate change.
Development Roadmap
Milestone 1 and 2 : The application will be able to connect to a server and fetch and send data
Milestone 3 : The app will be able to connect to a Tello drone and add it to the 3D world
Milestone 4 : Dryad will act like a normal drone at this stage and will be able to fly around and connect directly with the server.
Milestone 5 : The drones will be able to read actual text.
Milestone 6 : The world will be spawned on the server and drones will update it.
Milestone 7 : Additional CV functionalities
Milestone 8 : Drones will get data through radio and audio.
Milestone 9 : Tools to help builders
Milestone 10 : Weather support through the web.
Milestone 11 : 2d representation of the web in the website/app for current incidents.
Documentation, Education, and Community
We now have a vibrant community on Twitter and on our Discord server. In order to share our project's knowledge, experience, and most recent news, we will also start a blog. In terms of education, we will continue to learn by attending conferences like sub0—the polkadot developer conference in Lisbon. Additionally, we'll read academic books, journals, research papers, and articles, while also writing our own .
Other Deliverables
Specify any other deliverables proposed as part of this project.
Milestone Summary
Total Budget Requested
154.500 $
Maintenance and Upgrade Plans
I am currently the only employee, but I will start looking for a team to work full time on the project as soon as I get funded by a grant.
Team
Contact Info
alextitonis@gmail.com
Team Members
Team Website
https://artificial-leap.com/
Relevant Experience
I have experience with Artificial Intelligence , specifically in computer vision and NLP makes us the best match for this position. We have worked on different projects and managed a team without any problems. Assigned tasks and got back exceeding goals that fit the time frame . Coordinating projects helped us develop better communication and planning skills which are imperative when performing tasks.
Team code repositories
Links provided above: https://github.com/alextitonis/Cognitive-Agent https://github.com/alextitonis/Networked-p2p-Physics https://github.com/alextitonis/FluidLib https://github.com/AtlasFoundation/Thoth
Additional Information
The project is both open-source and public research. It will assist users in creating datasets together for various species (trees and animals), but also assist with emerging world issues like wild fires, accidents, and others, using AI algorithms to detect early fires, humans behind debris, etc.