"Smoov" by Alexsandr Arsentev, Marcelo Geldres Merino et al.

Document Type

Capstone Open Access

Smoov

Streaming Media

Faculty Supervisor

Gursharan Singh Tatla

Date of Defense

12-2024

Department

Faculty of Applied Science & Technology (FAST)

Program Name

Computer Systems Technology – Software Development and Network Engineering (SDNE)

Description

Introducing "Smoov" – our groundbreaking solution to revolutionize road maintenance. Rapidly deteriorating roads incur up to $3 billion annually in vehicle upkeep costs. Our innovative platform leverages real-time pothole detection technology to expedite repairs, enhancing road safety and infrastructure integrity. Join us in paving the way for smoother journeys and cost savings with "Smoov." Stack: Python/TensorFlow/NumPy/FlaskAPI/Google Cloud/ PostgreSQL/Kotlin/FastAPI/Angular/JIRA

Awards

Student Experience Award

Original Publication Citation

Arsentev, A., Merino, M.G., Patel, R., Goyal S.(2024). Smoov [Unpublished Capstone]. Computer Systems Technology – Software Development and Network Engineering. Sheridan College.

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