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karthik2276/README.md

🧠 About Me

  • 🎓 Currently pursuing B.E. in AI & Machine Learning
  • 🔭 Recently built an Online Fraud Detection Model and a Digital Complaint Management System
  • ⚙️ Experienced with Automated Test Frameworks (Selenium, Cypress, TestNG)
  • 🌱 Learning SAP Fiori/UI5, AWS, and advanced GenAI concepts
  • 💬 Ask me about Python, Machine Learning, Flask, or Test Automation
  • ⚡ Fun fact: I'm a quick learner who loves turning ideas into working prototypes

🛠️ Tech Stack

Python Java HTML5 CSS3 JavaScript Flask MySQL SQLite AWS Git GitHub VSCode Selenium Cypress SAP

🚀 Featured Projects

🔍 Automation Test Execution Framework

Reusable, scalable test automation suite built to cut down manual QA effort.

Tech: Selenium WebDriver, Java, Cypress, TestNG, Maven, Git

  • ✅ Reusable test scripts across modules
  • ✅ Automated end-to-end test execution
  • ✅ Reduced manual testing effort significantly

📋 Digital Complaint Management System

A full-stack web app for registering, tracking, and resolving complaints.

Tech: Flask, Python, REST APIs, SQLite/MySQL, Bootstrap, Pandas

  • ✅ Complaint registration & real-time tracking
  • ✅ Role-based admin dashboard
  • ✅ CSV export for reporting & analysis

💼 Experience

🏢 Automation Test Execution Framework — Infosys Oct 2025 → Assisted in software development and testing activities → Gained hands-on experience in industry tools and workflows

🤖 Machine Learning Intern — Intrainz Dec 2024 → Built and evaluated an ML model to detect fraudulent online payment activity using real transaction data

📜 Certifications

📊 GitHub Stats

streak stats
trophies

🐍 Contribution Snake

snake animation

Note: The snake animation above needs a one-time GitHub Action set up on your profile repo to keep animating with your live contributions. See the setup note at the bottom of this file.

💡 "A quick learner, team player, and always curious to innovate."

Pinned Loading

  1. AI-Powered-Online-Fraud-Detection AI-Powered-Online-Fraud-Detection Public

    AI-powered fraud detection system leveraging Machine Learning to classify online payment transactions as legitimate or fraudulent using a Flask-based web application.

    HTML

  2. api-ui-scheduling-automation-testing-main api-ui-scheduling-automation-testing-main Public

    Java

  3. DigitalComplaintSystem DigitalComplaintSystem Public

    Flask-based Digital Complaint Management System with admin dashboard, REST APIs, complaint tracking, analytics, and CSV export.

    HTML

  4. fake-news-detection fake-news-detection Public

    AI-powered Fake News Detection System using NLP, Machine Learning, Streamlit, and Plotly Dashboard.

    Python

  5. flora-bot-plant-disease-detection-using-deep-learning flora-bot-plant-disease-detection-using-deep-learning Public

    Deep learning-based plant disease detection using CNN for accurate leaf image classification.

    TypeScript