Human Detection and Counting System
Summary
Detecting humans in image, video or live camera.
To work in challenging environment, grow and develop along with the company further enhancing my skills.
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Master
MCA
Grade: 7CGPA
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Bachelor
BCA
Grade: 80%
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Pre-University Course
PUC
Grade: 67.33%
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Secondary School Leaving Certificate
SSLC
Grade: 78.88%
Fluent
Native
Software Trainee Intern – Front End Developer
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Highlights
Designed and implemented a system to streamline patient care and administrative tasks.
Built a software to efficiently schedule meetings and manage meetings.
Proficient in HTML, CSS, Javascript programming languages, frameworks, and tools.
Implemented solutions that enhanced system performance and user experience.
Worked effectively with cross-functional teams to deliver projects.
Singing, Listening to music.
Windows, LINUX.
Python, Java, Machine Learning.
HTML, JavaScript, CSS.
AWS, DevOps.
Summary
Detecting humans in image, video or live camera.
Summary
Detecting Cancer in Histopathological images using CNN.