Table of Contents
Project developed under the course AI in Urbanism 2022-23 in IAAC.
Description: one sentence description of the project containing why, what, how (where and for whom)
Problem statement: which problem the project solves, why you are doing it.
Idea: what you are doing to solve the problem
Solution: how you are solving the problem, the method
Place: where
Beneficiaries: the users of the project, who will benefit from it.
A longer description of the project, not more than 150 words.
- python3
- HTML
- sklearn
- HuggingFace
- Pytorch
- Tensorflow
- Mapbox
- GoogleStreetMaps
- Yelp
- OpenAI API
- Midjourney
- Stable Diffusion
- Flask
- FastAPI
- Colab
alternatively clone the repo:
git clone https://github.com/AUTHORNAME/PROJECTNAME.git
None
To use the project follow these steps:
Describe how to use your project (e.g. how to import the csv file you used, which cells to run to see which output, which packages to install, where to create an account (e.g. a token for chatgpt ?))
- Step 1
- Step 2
While working on the project the following challenges were encountered:
Describe which challenges you faced during the project (e.g. there's an issue with missing public facilities data in Beirut, instability of image generation from prompts etc.)
- challenge 1
- challenge 2
Describe the potential improvements or developments of the project (e.g. deploy the project, add more cities, add support for some feature).
- step 1
- step 2
- step 3
Distributed under the MIT License. See LICENSE.txt for more information.
Bao Trinh - @AUTHORNAME - e-mail - LinkedIn
Yi-Chen Lu - @AUTHORNAME - e-mail - LinkedIn
Farida Fidvi - @AUTHORNAME - e-mail - LinkedIn
Deeksha Ko - @AUTHORNAME - e-mail - LinkedIn
* [Best README template](https://github.com/othneildrew/Best-README-Template)