⚡ CLIMASHOCK
v1.0.0
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GitHub ↗
API ↗
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CONNECTING
PAKISTAN · DISTRIBUTED CAUSAL INTELLIGENCE · 1990–2023
CLIMASHOCK
In 2022, Sukkur received
+1293% above normal rainfall.
Cotton collapsed
−37.7%.
Inflation peaked at
30.8% in 2023.
Nobody had quantified this cascade — until now.
3-node parallel architecture · Granger causal discovery · LSTM + XGBoost ensemble
0
YEARS OF DATA
0
DISTRICTS
0
CAUSAL LINKS
0%
LSTM ACCURACY
0
PARALLEL NODES
HOW TO USE CLIMASHOCK — 3 SIMPLE STEPS
01
📍
Select Your District
Choose any of 10 major Pakistan districts — from Sukkur to Islamabad. Each has its own climate baseline built from 34 years of NASA data.
02
🌧️
Enter Today's Climate
Enter today's rainfall (mm/day) and temperature (°C). Not sure? Use one of our pre-filled examples including the 2022 Sukkur flood event.
03
⚡
Get Future Cascade
The system predicts: crop yield impact in 4–8 weeks, inflation pressure in 6–18 months, and GDP direction in 1–2 years — all from one reading.
USED BY:
🏛️
NDMA Officers
🌾
Agricultural Ministry
📊
Insurance Analysts
🔬
Climate Researchers
⚖️
Policy Makers
📰
Journalists
⚡
CASCADE PREDICTOR
◈
CAUSAL LINKS
◉
DISCOVERIES
CASCADE PREDICTION ENGINE v1.0
LSTM + XGBoost Ensemble · MAE 3.13%
QUICK EXAMPLES — CLICK TO TRY
Historical Event
2022 Sukkur Floods
Heat Stress
Extreme Lahore Heat
Baseline
Normal Islamabad
DISTRICT
Lahore
Karachi
Faisalabad
Multan
Peshawar
Quetta
Islamabad
Hyderabad
Sukkur
Sialkot
▼
RAINFALL (mm/day)
(normal: 0.5–2.0)
TEMPERATURE (°C)
(normal: 20–35)
⚡
ANALYZE CLIMATE CASCADE
→
SYSTEM STATUS
API
CONNECTING
LSTM MODEL
LOADED
XGB MODEL
LOADED
CAUSAL GRAPH
21 LINKS
DISTRICTS
10 / 10
DATA RANGE
1990–2023
MODEL ACCURACY
LSTM Inflation
2.87%
XGBoost Inflation
3.19%
Ensemble
3.13%
District Average
4.42%
2022 BACK-TEST — VERIFIED ✓
Predicted inflation
26.0%
Actual 2023
30.8%
Error
4.8%
GDP direction
Correct ✓
Actual GDP 2023
−0.41%
PARALLEL NODES — VERIFIED
Node 1 PID
798
Node 2 PID
799
Node 3 PID
800
Total time
0.076s
GPU training
47.3s
Platform
Tesla T4
2.87%
LSTM Inflation MAE
4.8%
2022 Back-test Error
Correct
GDP Direction
21
Causal Links Found
47.3s
Training Time (GPU)
3
Parallel PIDs
10
District Models