from Abishek_A_S import SoftwareEngineer
class Bio(SoftwareEngineer):
name = "Abishek A S"
title = "Software Engineer"
company_and_role = "Maersk Training | Software Engineer Intern"
location = "Chennai, India"
email = "[email protected]"
contact = "+918825352645"
hobbies = ["Cricket", "Stargazing", "Cinema", "Badminton", "Coding", "Games"]
previous_experience = {
"company": "Stryker",
"role": "R&D Intern",
"duration": "Sep 2022 โ July 2023",
"location": "Gurugram, India",
}
class Skills(SoftwareEngineer):
ProgrammingLanguages = [
"Python",
"TypeScript",
"JavaScript",
"SQL",
"HTML",
"Shell",
"CSS",
"Java",
"C++",
"C",
"Ruby",
"C#",
"Dart"
]
FrameworksAndLibraries = ["Next.js", "React.js", "Node.js", "Tailwind CSS", "Django", "Flask", "Flutter"]
Databases = ["MySQL", "MongoDB", "PostgreSQL"]
DevelopmentTools = ["Docker", "Visual Studio Code", "Git", "GitLab"]
OperatingSystems = ["Windows", "Ubuntu", "macOS", "Fedora", "CentOS", "ArchLinux"]
OtherSkills = [
"Agile Methodologies",
"Problem Solving",
"Team Collaboration",
"Technical Documentation",
"Debugging",
"Unit Testing",
"Continuous Integration/Continuous Deployment (CI/CD)",
"RESTful APIs",
"Data Structures and Algorithms",
"Object-Oriented Programming (OOP)",
"Responsive Web Design",
"Test-Driven Development (TDD)",
"Behaviour-Driven Development (BDD)",
]
abishek-as / audio-classification-deep-learning Goto Github PK
View Code? Open in Web Editor NEWWe'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.