CITY SCANNER
CITY SCANNER
Scan the city for the most accessible streets
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City Scanner is a mobile navigation app and tech platform providing AI-based, tailored navigation to cyclists, pedestrians and other two-wheelers. The app provides optimal route recommendations based on hyper-local information about street and neighbourhood conditions. In the process, City Scanner aims to empower people with key information needed to make critical decisions about their mobility, so that daily cycling and walking experiences becomes safer, efficient, and more comfortable for all.
How It Works
Plan a route from point A to B based on mode of transport and desired mobility experience.
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Receive route recommendations and realtime navigation alerts and guidance during the trip.
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Track route experiences during the trip in terms of safety, street conditions, infrastructure or obstructions, if any.
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Rate your trip and add to the accessibility heat map of the area.
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We heard from you in our first City Mobility Survey. Now we are curious to know more! Tell us the issues you face while commuting, why you walk or cycle or don't, what it would take for you to do so, and more in our 5 minute City Mobility Survey-2
Past Surveys
How convenient is it to walk or cycle in your city? Click the button and take our City Mobility Survey-1
People
Parul Sharma
Founder and CEO
Parul is an Architect and Urban Designer with over a decade of experience in urban development, mobility and placemaking at award-winning firms in India and the US. She believes in the power of innovation, data-driven participatory frameworks, and urban tech to ameliorate urban living conditions and resolve urban challenges prevalent in cities today.
Parul has worked with UN-Habitat, urban design studios, and non-profit organisations in Delhi and California. She holds a Master of Science in Architecture and Urban Design from the Graduate School of Architecture, Planning and Preservation (GSAPP), Columbia University, and a B.Arch from the University School of Architecture and Planning, I.P. University, Delhi. She received the 2015 Kinne Traveling Fellows Prize, and the 2021 GSAPP Incubator Prize, both from Columbia University.
Nikhil is a Data Scientist passionate about software engineering, deep learning, and natural language processing. He has over six years of experience in tackling real-world business problems at AI startups and developing innovative solutions to problems that cut across several domains.
Nikhil Raju
Technical Advisor
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