feat(ui): complete responsive redesign across all devices with mobile hamburger drawer, adaptive grid layouts, and touch optimization

revert: rollback to version before Anggaran & Decision Dashboard (commit 45fc0b7)

fix(nav): resolve identifier duplicate and wire direct switchPage handlers on navigation buttons

fix: restore AI Autopilot page container and async loaders

refactor(ui): streamline weather controls into single dedicated panel

fix(weather): align weather interpretation with BMKG rainfall threshold standards

fix(ui): polish Fleet Allocation and Critical Action Plan cards layout

feat(ui): unify Decision Dashboard & Simulation Predictions into single seamless command center

feat: add Decision Dashboard and 7-day Open-Meteo Weather Forecast Modal

feat: deploy real DLH sub-district dataset to fix FileNotFoundError startup crash

feat: deploy latest fine-tuned stacking regressor model weights (R2=96.41%)

feat: migrate backend historical dataset loading to real DLH Jakarta sub-district dataset

fix: implement verified AI/ML audit fixes (15T truck divisor, Other Waste CSV column, daily variance seed, dynamic risk status, fallback event descriptions)

design: transition to premium dark game HUD interface and fix washed out white texts

design: apply user-provided soft green pastel color palette variables to root theme and Three.js 3D silo

fix: correct thousands separator formatting for simulated waste tonnage to show 9,059 Tons

feat: add interactive 3D waste silo visualizer using Three.js with scroll bindings and CPU optimization

design: sanitize layout overrides and polish light theme colors for perfect readability

design: redesign entire UI/UX to a gorgeous bright sustainability theme with crisp shadows and eco-green branding

feat: retheme to professional Deep Eco-Green and add cinematic scrolling waste accumulation story

feat: add interactive waste education hub page with eco-sorter simulator game

feat(ui): restore original dark mode HUD glassmorphism theme and calibrate to 9,059 tons baseline

feat(ui): refine UI/UX, replace raw emojis with CSS vector drawings and clean HTML entities

feat(ui): update AI forecasting option text to Stacking Regressor Ensemble

feat(ui): expand homepage with ML stacking architecture diagrams, data pipeline visualizer, and feature importance breakdown

feat(ui): add interactive truck collection and screen monitoring animations to home page

feat(ui): implement Eco-Joy Analytics light-mode UI/UX redesign with custom fonts, colors, Voyager map, and micro-animations

commit tipis

fix: resolve ModuleNotFoundError on startup, make matplotlib optional, and clean up imports

feat(ml): upgrade model to Stacking Regressor and calibrate base to 9,059 tons daily waste

Update README.md

feat(seo): add Geo-location tags (ID-JK), Schema.org Multi-Type JSON-LD Graph, and expanded sitemap.xml for rapid indexing

fix(ui): remove GitHub and LinkedIn buttons from top header bar; keep header clean

feat(ui): add Developer Bio card with GitHub and LinkedIn buttons; clean up footer

feat(seo): add Google Site Verification meta tag and optimize for target keywords ai prediksi sampah, ai prediksi sampah jkt, aeterna ai

feat(seo): configure custom domain https://www.aeternaai.biz.id/ and LinkedIn profile for Faril Putra Pratama in SEO/GEO metadata

refactor(arch): structure repository into scalable models/, scripts/, docs/, and data/ directories

refactor(data): organize all datasets and data files into clean data/ directory

docs: add GitHub Star CTA callout and live Star badge to README.md

fix(docs): update architecture diagram in README.md to 100% reflect Python, FastAPI, and Leaflet.js stack

docs: polish README.md with Shields.io badges, GBR R2=98.28% metrics, BPS Jumlah Jiwa scaling, and developer credits

docs: feature lead developer Faril Putra Pratama (@FARILtau72) in README.md for instant indexing

feat: prominently feature Faril Putra Pratama (@FARILtau72) as lead developer in web header, footer, /status API, and GEO manifests

feat: add llms-full.txt and explicit GEO disambiguation metadata for Aeterna AI waste platform by FARILtau72

feat: attribute lead developer FARILtau72 and GitHub repository https://github.com/FARILtau72/Aeterna-Ai in SEO/GEO metadata and UI

feat: implement SEO (Meta Tags, OpenGraph, JSON-LD) and GEO (LLMs.txt, AI Plugin, Robots.txt, Sitemap.xml) for Aeterna AI

fix(ui): polish Simulasi Populasi label formatting and update truck capacity unit to 8T

feat: upgrade crowd event modeling to BPS Jumlah Jiwa headcount across 44 Kecamatans

fix: implement full suite of verified AI/ML audit fixes (standardize truck divisor, dynamic confidence, rain multipliers, valid news fallback URLs, dynamic MRT features)

fix: resolve scikit-learn build dependency error by removing version lock