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👋 Hi there, I'm Abhi!

🚀 About Me

  • 🌱 Self-Taught Programmer: Passionate about coding, I've honed my skills in Python, HTML, CSS, JavaScript and Android.
  • 📱 Starting Point: My coding journey began with a college project - an Android app for public bus tracking, planning, and scheduling.
  • 🎥 Exploring Possibilities: From there, I ventured into app development, creating a platform for movie enthusiasts by scraping links, followed by an anime-watching app.
  • 💡 Technical Stack: The anime app featured a Python Flask server hosted on Heroku and leveraged Cloud Firestore for user data management.
  • 🛠️ Current Focus: Currently working on Python-based projects involving automation scripts and web scraping.
  • 📚 Learning Curve: Actively learning and preparing for the AWS Developer Associate certification.

📫 How to Reach Me

🔍 Explore My Work

  • 📁 My Repositories: Dive into my projects, ranging from initial apps to current advanced scripts.
  • 🌟 Starred Projects: Check out the projects that inspire me.

📈 My GitHub Stats

Abhi's GitHub stats

Abhiram's Projects

abhi245y-portfolio-site icon abhi245y-portfolio-site

This is my personal portfolio website, showcasing my skills, projects, and experiences as a developer. Built using HTML, CSS, and JavaScript, this static site provides an overview of my background and passion for creating innovative solutions

cantrill-aws-course-counter icon cantrill-aws-course-counter

A simple script based on JS that shows you the total lessons in each section, how long they'll take, and how much you've got left. Perfect for keeping track of your progress on learn.cantrill.io!

cdunitapp icon cdunitapp

Python based app to maintain and manage bundles and bundle slips

ku-exam-notifier icon ku-exam-notifier

Automated bot that scrapes exam announcements, downloads PDFs, analyzes them with Llama3, and sends notifications via Telegram or WhatsApp.

readme-ai icon readme-ai

🚀 Generate beautiful README files from the terminal, powered by OpenAI's GPT language models 💫

slcm-bundles-distribution-automation icon slcm-bundles-distribution-automation

Python-based automation script specifically engineered to optimize the camp allocation process for SLCM-based bundles. It significantly simplifies and expedites the workflow, eliminating manual tasks such as repetitive sorting.

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