da AiSara Mindmap manca 1 anno
209
Vision AiSara 2022
The document outlines the objectives and technical specifications for a project involving the development and deployment of AI and machine learning modules in the field of petroleum engineering.
da AiSara Mindmap manca 1 anno
209
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Scenario
Nodes
Constraint & Events
Model
December 2021
To understand terms and flow of the web application based on petroleum engineer perspective
Petroleum Engineer
Front-end Developer
Interpretation feature
Data processing feature
November 2021
Some animation in the prototype might not be able to be developed during the development of the application
Cannot export whole artboard into javascript file
Find an impactful name for the app, eg: Brainstorming, Mindstorming, etc
Create some intuitive design or triggering design that represent "Brainstorming"
To provide UI/UX and flow of the application
Adobe Photoshop
Adobe illustrator
Back-end developer
Front-end developer
Session
Group chat
Chatbot
Sharing session
Video/picture/lesson learn
From 1 minute session with the team
Video with voiceover
Video posting
Machine with Petrel Application
Local Server and Delfi Server
1 Petroleum Engineer
.NET developer or Desktop app developer need
May 2022 - Initial Trial and sketchup
Provide Integration with Petrel user for modelling the Data using AiSara
Test importing and exporting data
Test & Deploy pre-process modules in web app
Further Discussion & Research on PE modules
Deploy and test basic PE modules (Phase 1)
Train and maintain the engine
Xuggler
Moviepy
ffmpeg for video editing
machine learning module
haarcascade
deep learning module
rembg
opencv
Zeplin
Adobe XD
Android Studio
Machine learning
advertisement
Quotation post
marketing using Instagram, twitter, website
Calculate the videos to ensure whether it reached 10seconds
Saving videos
Scene detection
Background matting
Splitting the video into frames
Detect stop or stopSubVideo (machine learning classfier)
Recording of video (Android studio)
Detecting gesture in the mobile application (machine learning classifier)
The gesture recognition does not work as intended
The timeline animation at record button during the recording session
Local Server
Secure Office Network
GPU
RAM
CPU
1 DevOps Engineer
Auto-ML module for end-end data preprocessing
- Will allow developers to easily test different datasets
- Could be a new product for aisara
Federated learning
Stress Testing on AiSara
AiSara 2.0 + Ensemble + HV
Aisara + Ensemble + HV
Aisara 2.0 + HV
Aisara + HV
A workflow for the developers on data-preprocessing before they start using aisara library
Proposing and creating new products for AiSara
Improving the accuracy
Enhancement to the aisara core algorithm
2 Developer
Iteration and testing in development of the idea
Interpolation algorithm
Kriging in aisara
could also be used for PRSB
better accuracy natively
RBF Julia catered for aisara
To remove the dependency of python rbf which we are currently using
could improve the performance furthermore
Jan 2022
Hidden Variable testing
GPU Support
Provide GPU computation for the algorithm
Improve the algorithm through enhancement and stability
The core algorithm development
May 2022
Create New Demo tool for public
Web that helps new needs of IT or ML (Metaverse, distributed computing, Computer vision related?)
Additional Domain research and challanges
Feb 2022
Updating endpoints in AiSara API package
HV
Ensemble
AiSara 2.0
Mar 2022
Combine multiple end-points into one aisara resource package for easier operation
The idea is to create a "developer suite", so that all the users could find everything there is in aisara through one API resource
Minor bug in moving all AiSara core to local server
Equipment
Server (cloud/local)
Man power
1 Developer
