Airports Authority of India (AAI)
Five evidence-based challenges identified for this entity, each paired with a ready-to-build AI tool specification — free for the Government of India to deploy.
Top 5 Challenges
Drawn from official reports, audits, parliamentary material and public feedback. Framed as improvement opportunities, never as criticism.
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1
Air traffic controller shortages strain rostering and fatigue management across airports
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2
Capacity congestion at metro airports needs better slot and flow analytics
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3
Passenger complaints on facilities and baggage face slow, fragmented resolution
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4
Non-aeronautical revenue underperforms with weak concession monitoring and analytics
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5
Runway and equipment maintenance remains reactive rather than predictive
Five AI Tools
Each tool answers the matching challenge above, and is built on curated official sources with safeguards and human oversight.
Nabh Chakra
ATC Rostering Optimization Engine
Supports AAI air traffic management units in building fatigue-safe controller rosters: checks duty patterns against DGCA duty-time norms, balances watch coverage with sanctioned strength shortfalls, and flags fatigue risk before it reaches the control room.
View build specViman Disha
Airport Slot Congestion Analyzer
Analyses slot schedules, runway throughput and delay data for AAI airport directors and ATFM teams to expose peak-hour over-scheduling at congested airports, model de-peaking options, and support evidence-based slot coordination and capacity declarations.
View build specYatri Mitra
Passenger Grievance Response Copilot
Helps AAI terminal managers and grievance cells resolve passenger complaints from AirSewa, social media and helpdesks: classifies issues, drafts empathetic replies in the passenger's language, routes cases to the right agency, and tracks resolution timelines.
View build specAay Darpan
Concession Revenue Monitoring Tool
Gives AAI commercial teams a clear view of non-aeronautical revenue: tracks concessionaire sales reporting, minimum guarantee compliance, space utilisation and licence expiries, flags under-reporting anomalies, and benchmarks revenue per passenger across airports.
View build specYantra Netra
Predictive Maintenance Analytics Engine
Moves AAI engineering teams from breakdown response to prediction: analyses fault logs and inspection data for runways, navaids, airfield lighting and terminal systems, forecasts failure-prone assets, and builds preventive schedules that protect runway availability.
View build specAre you from Airports Authority of India (AAI)?
We will build, deploy and hand over these five tools to your office free of charge, as a seva to the nation. No licence fee, no lock-in.
Contact the project team