https://github.com/n1rjal/fsociety-spaceapp
deployed at https://fsocietyspaceapp.herokuapp.com/
https://github.com/n1rjal/fsociety-spaceapp
django django-project machine-learning rest-api sklearn
Last synced: 2 months ago
JSON representation
deployed at https://fsocietyspaceapp.herokuapp.com/
- Host: GitHub
- URL: https://github.com/n1rjal/fsociety-spaceapp
- Owner: n1rjal
- Created: 2020-05-30T13:52:08.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T10:41:35.000Z (over 3 years ago)
- Last Synced: 2025-03-02T07:52:34.998Z (over 1 year ago)
- Topics: django, django-project, machine-learning, rest-api, sklearn
- Language: JavaScript
- Homepage:
- Size: 25.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Fsociety-SpaceApp
> Django backend integrated with sklearn machine learning model
> The webapp is deployed at https://fsocietyspaceapp.herokuapp.com/
# Meta
This a space app hackathan project made by team [F-SOCIETY](https://covid19.spaceappschallenge.org/challenges/covid-challenges/food-thought/teams/fsociety/project)
#### Team Members
* [Nirjal Paudel - Backend Developer](https://github.com/n1rjal)
* [Thinam Tamang - Machine Learner](https://github.com/ThinamXx)
* [Bipin Bhandari - Frontend Mobile Developer](https://github.com/B33pin)
* [Sushan Poudyal - Frontend Mobile Developer](https://github.com/sushan9)
* [Prabesh Pudasaini - Frontend Web Developer/ Researcher](https://github.com/alpha5714)
* [Ashika Dhakal - Frontend Web Developer/ Researcher](https://github.com/aashika1234)
# Links
* [Flutter Frontend Github repo](https://github.com/sushan9/nasahack)
* [Python Django Backend Github repo](https://github.com/n1rjal/Fsociety-SpaceApp/)
* [Data Analysis and Machine Learning for Precipitation prediction](https://nbviewer.jupyter.org/github/ThinamXx/Machine-Learning-in-Weather-Data/blob/master/Precipitation%20Prediction%20Using%20Random%20Forest%20Regressor.ipynb)
* [Data Analysis and Machine Learning for Temperature prediction](https://nbviewer.jupyter.org/github/ThinamXx/Machine-Learning-in-Weather-Data/blob/master/Temperature%20Prediction%20Using%20Random%20Forest%20Regressor.ipynb)