# Windtelligent Wishlist 

It'd be nice to see these things to get a better ML representation of what exactly we are doing under the hood. How our model compares to other wind forecast models and more. This will certainly be a growing bucket list so make sure to knock it off as you go along. And celebrate the victories!

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## On the AI itself. 
- our github
- our [reference papers ](obsidian://open?vault=Coding%20Tips&file=Careers%2FCurrent%20Occupations%2FWindtelligent%2FIntelligence%2FReferenced%20Papers)
- our [benchmarks](https://github.com/pangeo-data/WeatherBench) 
- our demos 
- on different wind features 
- the[ daily 'do](https://drive.google.com/drive/folders/1bxiS58CH4kyUA0lmB4_JWYp2l1bwO2cm?usp=sharing) journal 
- being better with Python and continuing to learn 
- eventually incorporating quantum technology in there as well QML

## On Quantum...
- Rigetti [enhancing](https://www.globenewswire.com/news-release/2021/12/01/2344216/0/en/Rigetti-Enhances-Predictive-Weather-Modeling-with-Quantum-Machine-Learning.html) predictive weather 
- IBM Quantum [partnering](https://www.cnet.com/tech/tech-industry/ibm-unveils-weather-forecasting-system-commercial-quantum-computing-at-ces/) with weather 
- Potentials for [major improvements](https://1qbit.com/blog/quantum-computing/forecasting-the-weather-using-quantum-computers/) on current numerical methods and predictions of meterological conditions

## On Deployable Product 
- [FastAPI](https://pythonawesome.com/fastapi-skeleton-app-to-serve-machine-learning-models-production-ready/) with Python on ML apps 
- Timeline 

## On the website and our marketing presence 
- our [website](https://www.windtelligent.ai/) 
- airbenders and our story 
- potential other websites 
- our twitter 
- other social medias 
- other climate companies