Topic: Weather

Implementing AI for construction project prediction faces data challenges, as Indian real estate lacks blockchain-based data traces. While companies like Achitesh's have internal data (e.g., 10 million sq ft over five years), external factors like elections, IPL, and weather (rain, heatwaves) significantly impact project timelines. A predictive model would need to incorporate both documented internal delays and external API-available data to provide a more accurate estimate than a human guess, using weighted scores to assess impact.

Estimating airport footfalls for production planning is challenging due to the lack of direct data. A proposed AI solution involves using "Flight Price Watcher" via APIs to monitor real-time flight ticket prices. An increase in prices correlates with increased demand and passenger inflow, signaling a need for higher production. This dynamic approach can be further enhanced by incorporating weather data and sentiment analysis to find additional correlations.