Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Sagana - DS for food security
Search
Shanelle Recheta
March 18, 2021
Technology
280
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Sagana - DS for food security
Reimagining the future of food through linear programming and optimization
Shanelle Recheta
March 18, 2021
More Decks by Shanelle Recheta
See All by Shanelle Recheta
Grid Impact Study North Luzon
titaofdata
0
35
[Permaculture Design] Malalison Island Social Enterprise
titaofdata
0
44
[Bicol Youth Tech Expo] GenAI for Social Good
titaofdata
0
27
How to get away with an entry level job in tech
titaofdata
0
75
Globe 5G Hackathon Enablement Workshops
titaofdata
0
110
Kybi Pitch Deck
titaofdata
0
370
Team STP: PLASTIC 3R HACKS PH
titaofdata
0
400
Communication and listening habits of different people
titaofdata
0
180
Antukin - mobile time tracking app
titaofdata
1
320
Other Decks in Technology
See All in Technology
企画からFlutter実装まで、1つの機能を一貫して開発したプロセスと成果物
khiroyuki1003
1
150
視野はAIに、視座は人に / ai-for-breadth-humans-for-perspective
nkzn
6
3.1k
分析作業をどこまで任せるか自分で決められる AIネイティブBI『Golden Analytics』が 良さげな話 /golden-analytics-is-ai-native-bi
shinyaa31
0
120
Oracle Database Security 詳細解説
oracle4engineer
PRO
2
250
Maestro MCPとClaude Code Skillsによる自律的なE2Eテスト支援
asmz
0
420
IoTとは〜? 数字で見るSORACOM UG【SORACOM UG Explorer 2026】
soracom
PRO
0
180
AI時代に求められる優秀なTechLeadの振る舞い
pospome
10
13k
続・ソフトウェアアーキテクトのための意思決定術: Decision Readiness, Revisited — When AI Changes the Economics of Software Architecture
snoozer05
PRO
9
2.2k
Gifu WordPress Meetup #200 に向けて、私たちには何ができるだろうか?/ 2026-11-07 Gifu WordPress Meetup
torounit
0
150
あなたのDartコードは丸見えかもしれない ~reFlutterで暴くFlutterアプリの中身と多層防御~
zozotech
PRO
0
770
令和の今、あらためて IAM を考える。アクセスキーを「無くせない現実」との向き合い方
kazzpapa3
0
170
Building Audio Plugin Ecosystem for Android in 2026
atsushieno
2
150
Featured
See All Featured
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
500
Tell your own story through comics
letsgokoyo
1
1.1k
Documentation Writing (for coders)
carmenintech
77
5.6k
Paper Plane (Part 1)
katiecoart
PRO
2
12k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
330
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
370
How to train your dragon (web standard)
notwaldorf
96
6.9k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
480
RailsConf 2023
tenderlove
30
1.6k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
1
610
Transcript
FEEDING THE FUTURE Data Science towards a zero waste PH
SHANELLE RECHETA Tech Lead Full Stack Data Scientist IoT Engineer
https://github.com/IRC-sgrace | https://www.nxtlvlfarms.xyz/
None
None
DATA-DRIVEN FOOD SHARING WEB APP SAGANA Connect sponsors and communities
to filipinos in need by creating a community food distribution system based on scheduling and route optimization using web-scraped food and grocery establishments data, poverty statistics and, MRT and LRT ridership statistics
If we can conquer space, we can conquer hunger SAGANA
make food-sharing easy
Q&A
CONSTRAINTS cost controls (more goods in one trip) time windows
(for perishable goods) low risk of queues
SOLUTION Find a set of routes of minimal total traveling
cost and maximal food distributed along BFT's by complying with the prioritized time windows (perishable goods). DISTANCE MATRIX API
HACKING DIJKSTRA'S ALGORITHM 03 Instead of doing Dijkstra's once from
source to destination, you start at each end, and expand both sides until they meet in the middle. Eliminates roughly half the work .
Collect more granular data