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aditya07389/README.md

Hi, I'm Aditya Shastry πŸ‘‹

I'm an Information Science student focused on building complete, end-to-end solutions. I start with a strong foundation in Java for Data Structures and Algorithms, then use Python to develop applications in Machine Learning and Generative AI. I bridge the gap between development and deployment by implementing DevOps and CI/CD pipelines to automate and streamline the release process. My focus is on creating intelligent, scalable, and efficiently deployed software.


πŸ”§ Technologies & Tools

Python Java JavaScript Django Flask React Express.js HTML CSS Docker GCP Keras Git


πŸš€ My Projects

Ecowatt: Solar Optimization Platform

A platform that uses geospatial data and machine learning to identify optimal locations for solar panel installation. The model achieved 97% accuracy in its predictions.

Tech Stack: Python, Flask, React, Keras, Parallel Processing

View on GitHub

ConsumeWise: AI Nutrition Analyzer

An AI-powered nutrition assistant that generates personalized diet plans by integrating the Gemini API with user health profiles. This project won 6th place out of 100+ teams at the Error 404 Hackfest.

Tech Stack: Django, Gemini API, Prompt Engineering

View on GitHub

ChatApplication – Real-time Chat App

A real-time messaging application built with Django Channels, enabling instant, WebSocket-based communication between users.

Tech Stack: Django, Django Channels, Redis, JavaScript

View on GitHub

Resumonk – Free Resume Builder

A web application designed to help users quickly create professional resumes from various templates, streamlining the job application process.

Tech Stack: Django, HTML, CSS, JavaScript, SQLite

View on GitHub

E-Commerce DevOps Pipeline

Designed and implemented a CI/CD pipeline that automated building, testing, and deployment. This automation reduced deployment failures by 65% through integrated security and quality checks.

Tech Stack: Jenkins, Docker, SonarQube, Trivy

View on GitHub

Malpractice Detection System

An image classification system built to automatically detect academic malpractice during examinations using deep learning models like VGG-16 and Inception V3.

Tech Stack: TensorFlow, Keras, VGG-16, Inception V3

View on GitHub

πŸ† Achievements & Statistics

  • Top 0.8% (Rank #503) out of 60,000+ developers in GSSoC-EXTD 2024.
  • 6th Place Winner at Error 404 Hackfest (Health-tech category, 100+ participating teams).
  • Solved 250+ problems on LeetCode with a contest rating of 1563.

Aditya's GitHub stats

Visitor Count


πŸŽ–οΈ Badges & Recognition

Hacktoberfest 2024

Holopin Badge Level 0
Holopin Badge Level 1
Holopin Badge Level 2
Holopin Badge Level 3
Holopin Badge Level 4

GSSOC-EXTD 2024

GSSOC Badge 1
GSSOC Badge 2
GSSOC Badge 3
GSSOC Badge 4
GSSOC Badge 5


πŸ“« Let's Connect!

Feel free to reach out if you want to collaborate on a project or just want to chat!

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