Team HungryHacks - Solving Food Insecurity Problems (Zero Hunger, Zero Waste)
by ayaz1295 Updated: Nov 2, 2021
Solution Kit
We are Team HungryHacks trying to solve food insecurity issues using Data Science and AI.
Group Name 1
Data Preprocessing
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
37275
Version:v2.0.0rc1
License: Permissive (BSD-3-Clause)
Group Name 2
Data Exploration and Visualization
seabornby mwaskom
Statistical data visualization in Python
seabornby mwaskom
Python
10485
Version:v0.12.2
License: Permissive (BSD-3-Clause)
statsmodelsby statsmodels
Statsmodels: statistical modeling and econometrics in Python
statsmodelsby statsmodels
Python
8293
Version:v0.13.5
License: Permissive (BSD-3-Clause)
matplotlibby matplotlib
matplotlib: plotting with Python
matplotlibby matplotlib
Python
17007
Version:v3.7.1
License: No License
Kit Solution Source
Surpriseby NicolasHug
A Python scikit for building and analyzing recommender systems
Surpriseby NicolasHug
Python
5729
Version:Current
License: Permissive (BSD-3-Clause)
Deployment Information
We used jupyter Notebook for development and debugging
Group Name 6
Front-end Development
Group Name 5
GITHUB Repo
HackMaker-BuildWithAI-ML_Modelby ayaz95
Recommendation Engine model and Data Analysis
HackMaker-BuildWithAI-ML_Modelby ayaz95
Jupyter Notebook
0
Version:Current
License: No License
hackathon-buildwithaiby tawanorg
hackathon-buildwithaiby tawanorg
JavaScript
0
Version:Current
License: No License