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ALAMDIENG
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waste-prediction-api
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waste-prediction-api
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2 contributors
History:
96 commits
ALAMDIENG
feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste
ebdf770
2 days ago
__pycache__
UPDATE ALL FEATURE (#3)
23 days ago
data
refactor(data): organize all datasets and data files into clean data/ directory
13 days ago
docs
refactor(arch): structure repository into scalable models/, scripts/, docs/, and data/ directories
13 days ago
frontend
feat(seo): add Geo-location tags (ID-JK), Schema.org Multi-Type JSON-LD Graph, and expanded sitemap.xml for rapid indexing
13 days ago
scripts
feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste
2 days ago
.gitattributes
Safe
1.52 kB
initial commit
3 months ago
.gitignore
Safe
168 Bytes
feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste
2 days ago
.vercelignore
Safe
261 Bytes
fix: add .vercelignore to exclude heavy backend files from Vercel deployment
22 days ago
Dockerfile
Safe
336 Bytes
Create Dockerfile
3 months ago
README.md
Safe
9.98 kB
Update README.md
5 days ago
app.py
Safe
55.4 kB
feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste
2 days ago
requirements.txt
Safe
237 Bytes
fix: resolve scikit-learn build dependency error by removing version lock
17 days ago
vercel.json
Safe
328 Bytes
fix: configure vercel.json builds to only package frontend static assets
22 days ago