ppt AI.pptx54333344444444444445555555555555

vedantj12345 7 views 9 slides Jul 03, 2024
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PORTFOLIO Teachable machines VEDANT JITANI 11-F

PROJECTS AI system that can tell the type of vehicle based on its license plate number. AI system that can tell if a fruit is rotten based on its image PRESENTATION TITLE 2

AI system that can tell the type of vehicle based on its license plate number Improved Traffic Management: With the ability to identify the type of vehicle, the AI system can be used for effective traffic management, as it can help to prioritize certain vehicles on the road, such as emergency vehicles. Better Planning: With the ability to accurately track vehicle types, city planners and transportation departments can better plan for road usage, infrastructure upgrades, and other related needs. PRESENTATION TITLE 3

Increased Efficiency: The AI system can be integrated with traffic management systems, toll collection systems, and parking management systems to increase efficiency and reduce congestion. Enhanced Security: The AI system can be used to detect stolen vehicles and aid in the recovery of stolen vehicles by quickly identifying the type of vehicle and its license plate number. 4

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AI system that can tell if a fruit is rotten 

Increased Food Safety: The AI system can be used to quickly and accurately identify if a fruit is rotten, reducing the risk of food-borne illness caused by consuming spoiled fruits. I mproved Quality Control: The AI system can be used by food processors, distributors, and retailers to improve quality control and ensure that only high-quality, fresh fruits are sold to consumers.

Increased Productivity: The AI system can significantly speed up the inspection process, enabling food processors, distributors, and retailers to handle more fruit in less time, increasing productivity and reducing costs. Better Sustainability: By reducing food waste, the AI system can help promote sustainability by reducing the amount of food that goes to waste and minimizing the resources used in food production.

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