Automation of Traffic Control System Using Image Morphological Operation
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Summary
A research project focused on developing an automated system for real-time traffic control using advanced image processing techniques.
Highly motivated Computer Science Engineering graduate with a strong academic record (8.28 CGPA) and foundational knowledge in web development, Proficient in Python, C Programming, and Django, eager to apply technical skills to solve complex problems and contribute to innovative software solutions. Seeking a challenging entry-level role to leverage expertise in dynamic environments and drive organizational growth.
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Bachelor of Technology (B.Tech)
Computer Science and Engineering
Grade: 8.28 CGPA
Courses
C Programming
Python
Object-Oriented Programming (OOPS)
Database Management Systems (DBMS)
Image Processing
Artificial Intelligence Fundamentals
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Pre-University Course
Intermediate
Grade: 8.09 CGPA
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SSC
Secondary School Certificate
Grade: 7.7 CGPA
Issued By
IBM
Issued By
NASSCOM
Issued By
Online Platform/Course (Inferred)
DBMS.
Microsoft Excel.
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Summary
A research project focused on developing an automated system for real-time traffic control using advanced image processing techniques.