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u Personalized treatment: AI suggests the best treatment plan based on the patient’s history, test results, and lifestyle.
For example, IBM Watson Health helps oncologists design cancer treatment plans that suit individual patients.
u Patient care and monitoring: Smart devices like fitness bands and AI-based health apps track heart rate, oxygen
level, and sleep quality. For example, the Apple Watch can alert users about irregular heartbeats or falls.
u Medical research: AI speeds up research by analysing large medical data to find new drugs and vaccines. For
example, during the COVID-19 pandemic, AI was used to study virus patterns and develop vaccines faster.

Transportation
AI is transforming how we travel, making it safer, more efficient, and eco-friendly. Some key benefits of AI in
transportation are as follows:
u Autonomous vehicles (Self-driving cars): AI helps vehicles sense their surroundings, follow traffic rules, and make
driving decisions. For example, Tesla and Google’s Waymo use AI to create driverless cars that can detect pedestrians
and avoid accidents.
u Traffic management systems: AI controls traffic lights and monitors road conditions to reduce congestion and
pollution. For example, in Bengaluru, AI-based traffic systems analyse live camera feeds to manage traffic flow during
rush hours.
u Public transport optimization: AI predicts bus or train delays and suggests alternative routes to passengers. For
example, Google Maps and Uber use AI to calculate the fastest route based on traffic data.
u Road safety: AI can detect accidents quickly and alert emergency services.
For example, smart cameras on highways in Japan use AI to report accidents within seconds.

Disaster Prediction and Management
AI plays a life-saving role by predicting and managing natural disasters. Some key benefits of AI in disaster prediction
and management are as follows:
u Early warning systems: AI studies weather data, satellite images, and temperature changes to forecast disasters
like floods, cyclones, or earthquakes. For example, India’s Meteorological Department uses AI to predict cyclones and
issue early warnings to coastal areas.
u Response management: After a disaster, AI helps rescue teams plan safe routes, identify affected areas, and deliver
aid quickly. For example, during the Kerala floods in 2018, AI-based systems were used to analyse satellite images
and rainfall data. This helped the government and disaster management teams identify flood-affected regions, plan
rescue operations, and deliver relief materials efficiently.
u Damage assessment: AI drones capture images of damaged buildings and roads to help the government plan
recovery faster. For example, AI-based mapping was used in Nepal after the 2015 earthquake for rescue planning.

Agriculture

AI supports farmers in growing more crops with less effort and fewer resources. Some key benefits of AI in agriculture
are as follows:

u Precision farming: AI analyses soil, water, and weather conditions to decide the best time for planting and irrigation.
For example, Indian startups like Fasal and CropIn use AI to send mobile alerts to farmers about when to water or
fertilize crops.
u Crop monitoring: Drones and AI cameras check plant health, detect pests or diseases, and alert farmers instantly. For
example, the Plantix app uses AI to identify plant diseases from photos taken by farmers.
u Yield prediction: AI predicts how much crop will grow, helping farmers and traders plan for storage and sales. For
example, AI models can estimate wheat yield by analysing rainfall, soil nutrients, and sunlight.
u Weather forecasting: AI provides accurate weather forecasts, helping farmers protect crops from storms or drought.
For example, Microsoft’s AI for Earth program offers farmers weather-based insights to reduce crop loss.

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