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Hi there πŸ‘‹

I'm Gopi Prashanth Raju, an enthusiastic and driven software engineering student with a passion for developing innovative solutions and working on challenging projects.

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Coding

Things I code with

Java Python JavaScript HTML5 CSS3 React Node.js Express.js MongoDB SQL Git GitHub Docker Webpack TypeScript Google Cloud Platform C UML pandas numpy TensorFlow PyTorch R

Education

Chaitanya Bharathi Institute of Technology
Hyderabad, Telangana
Bachelor of Engineering (GPA: 9.18 / 10)
Nov 2021 - May 2025

Relevant Coursework:

  • Data Structures and Algorithms (Java) πŸ“Š
  • Probability & Statistics in Computer Science (Python) πŸ“ˆ
  • Machine Learning πŸ€–
  • Data Analysis πŸ“‰
  • SQL πŸ—ƒοΈ
  • HTML, CSS, Bootstrap,JavaScript πŸ’»
  • MERN Stack πŸ› οΈ
  • NumPy, Pandas 🐼

Projects

MERN Stack Website - VoyageMate

MERN Stack

Technologies: MongoDB, Express.js, React, Node.js

  • Designed and developed a full-stack web application using the MERN stack.
  • Implemented user authentication and authorization using JWT (JSON Web Tokens) for secure access to features.
  • Utilized MongoDB as the database to store user information, chat logs, and other application data.
  • Added live tracking and PNR check status features to provide information about previous trips.
  • Developed a recommendation system based on previous trip data to provide personalized travel suggestions.

Automatic Class Attendance Tkinter App

Face Recognition

Technologies: Python, Tkinter, Face Recognition, CSV

  • Developed a user-friendly Tkinter application for automating class attendance tracking using a face recognition module.
  • Implemented an interface for students and teachers to log in, check attendance, and update attendance records.
  • Designed functionality for faculty to view details of students and attendance records.
  • Utilized multiple angle photos for better accuracy in face recognition.
  • Stored attendance data in a CSV file and displayed it upon student login through Tkinter GUI.

Clothing Website Data Scraping and CNN Model Development

Web Scraping

Technologies: Python, Selenium, CNN, NumPy, Pandas

  • Utilized Selenium to scrape data from a clothing website, extracting prices and ratings of various garments.
  • Preprocessed the dataset by dividing it by brand and price, handling null values, and filling missing ratings.
  • Developed a Convolutional Neural Network (CNN) model to analyze images and predict prices and ratings of clothing items.
  • Implemented normalization of prices and ratings using StandardScaler to improve model performance.

Technical Skills

πŸ“š Languages:

  • R, Python, Java, JavaScript, C/C++

πŸ› οΈ Frameworks/Libraries:

  • React.js, Express.js, Flask, Django, TensorFlow, PyTorch, jQuery, Bootstrap, Node.js, EJS, NumPy, Pandas, Matplotlib

πŸ’Ύ Databases/Tools:

  • MySQL, MongoDB, Git

🧠 Concepts:

  • Operating System, Computer Networks, Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Data Analysis

Certifications and Achievements

  • Python Course Certificate (Google, Michigan University): Data Collection using Python. 🐍
  • Using Python to Interact with the Operating System (Google): Python programming, operating system interaction. πŸ’»
  • Java Programming: Solving Problems with Software (Duke University): Java programming, problem-solving. β˜•
  • Udemy Full Stack Course Completion: Full-stack development. πŸ–₯️
  • Hackathons: Participated in COSC HacktoberFest 2023, Flipr WebD Hackathon, and TechGig ML Hackathon. πŸ†
  • Google Cloud Computing Foundations Certification: Cloud computing. ☁️
  • HackerRank (5-star): Achieved 5-star rating for Python coding on HackerRank. ⭐
  • CodeChef (3-star): Achieved 3-star rating for competitive coding on Codechef. ⭐⭐⭐
  • LeetCode (1881-Rating, 700 Problems Solved): Achieved 1881 rating for competitive coding on LeetCode and solved over 700 problems. πŸ…

Contact

πŸ“ž Phone: 6300545278
πŸ“§ Email: [email protected]

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