Autonomous AI using AI Agents — Real-time flood early warning for Punjab's major dams.
ਸਾਰੇ ਡੈਮ ਸੁਰੱਖਿਅਤ ਪੱਧਰ 'ਤੇ ਹਨ। ਕੋਈ ਖ਼ਤਰਾ ਨਹੀਂ।
सभी बांध सुरक्षित स्तर पर हैं। कोई खतरा नहीं।
All dams are at safe levels. No threat detected.
BHAKRA DAM
River Sutlej · Bilaspur, HP
DANGER
21.84%
Level: 1,560 ft / 1,680 ft
↓ Inflow: —↑ Outflow: —
Source: BBMB PDF
✓ SAFE
📡
GOVT DATA TEMPORARILY UNAVAILABLE
BBMB website (bbmb.gov.in) is not responding or has changed format. The system will automatically restore live data when the source becomes available again.
🔄 Auto-retry: Pipeline checks every hour. This card will show live data as soon as BBMB publishes it.
⏳ AWAITING GOVT DATA
PONG DAM
River Beas · Kangra, HP
DANGER
27.35%
Level: 1,320 ft / 1,390 ft
↓ Inflow: —↑ Outflow: —
Source: BBMB PDF
✓ SAFE
📡
GOVT DATA TEMPORARILY UNAVAILABLE
BBMB website (bbmb.gov.in) is not responding or has changed format. The system will automatically restore live data when the source becomes available again.
🔄 Auto-retry: Pipeline checks every hour. This card will show live data as soon as BBMB publishes it.
⏳ AWAITING GOVT DATA
RANJIT SAGAR DAM
River Ravi · Pathankot, PB
🔒
DATA NOT ACCESSIBLE
Ranjit Sagar Dam is managed by Punjab State (PSPCL). Unlike BBMB (which publishes Bhakra & Pong data as a daily open PDF), Punjab does not expose real-time reservoir data through any public API or bulletin.
📢 Note: This card will activate automatically when Punjab makes Ranjit Sagar reservoir data publicly accessible. The system is ready — the data pipeline, analysis, and alerting are built. Only the data feed is missing.
⏳ AWAITING DATA
⚙️ How This System Works
Four AI agents work autonomously 24/7 to predict danger days before it arrives.
यह बताता है कि मानसून कितना बीत चुका है। लाल ज़ोन (जुलाई-अगस्त) में बाढ़ का ख़तरा सबसे ज़्यादा होता है।
This shows how far into monsoon we are. The red zone (Jul-Aug) is when flood risk is highest.
💰 Hidden Cost of Delayed Warnings
Every hour of delayed warning costs lives, livestock, and livelihoods. Based on model projections.
✅ 72-Hour WarningEARLY WARNING
Population Evacuated
95%
Lives Saved
98%
Livestock Saved
90%
Crops Protected
60%
💰 Economic cost: ₹1,500 Crore (est.)
⚡
❌ 6-Hour WarningDELAYED WARNING
Population Evacuated
35%
Lives Saved
70%
Livestock Saved
25%
Crops Protected
5%
💸 Economic cost: ₹5,000–10,000 Crore (est.)
↓80–90% of lives and livestock saved with early warning
Based on UNDRR early warning effectiveness data and international flood EWS outcomes
📊 2025 Punjab Floods — Real Impact
100+ lives lost, ₹5,000–10,000 Crore estimated damage — with hardly any credible warning.
Early warning could have prevented most of these deaths and saved thousands of livestock — reducing human and livestock losses by an estimated 80–90%. Source: Punjab SDMA reports, NDMA post-flood assessment 2025.
📋 Coverage Summary 🟢 Phase 1 — Active Pilot
3
Dams Monitored
1
States Covered
50L+
Downstream Population (est.)
150+
Scalable To (CWC Reservoirs)
🚀 Expand to 150+ Dams with Government/NGO Partnership
This pilot covers 3 Punjab dams protecting 50 lakh+ downstream population. In 2025, dam-related floods submerged 1,900+ villages, destroyed thousands of homes, and affected 3.8 lakh+ people — with hardly any credible advance warning. With funding support, this system can scale to 150+ CWC-monitored reservoirs across India — becoming a national flood early warning utility saving hundreds of lives every monsoon season.
🏗️ 150+ CWC-Monitored Reservoirs🗺️ 28 States & 8 UTs👥 50L+ Downstream Population (pilot)⚡ 72-Hour Advance Warning
* Population estimate based on Census 2011 district data for Rupnagar, Ludhiana, Ferozepur (Sutlej), Gurdaspur (Beas/Ravi) flood-risk zones. 150+ reservoirs figure per CWC weekly monitoring bulletin (PIB, 2025). 2025 flood impact data from Punjab SDMA reports.
📊 Historical Trends — % Capacity Over Time
🔒
Data Not Available
Ranjit Sagar Dam is managed by Punjab State (PSPCL) which does not publish reservoir data publicly. Historical trends will appear here when the data becomes accessible.
CWC/BBMB publishes data once daily — values between updates reflect last known reading.