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abhi-abhi86/README.md

πŸ‘‹ Hi there! I'm Abhishek M G

I'm an aspiring Python Developer currently pursuing a Bachelor of Computer Applications (B.C.A.). I focus on building clean, maintainable, and scalable Python applications, ranging from automation scripts and data pipelines to GUI applications and machine learning experiments.


πŸš€ About Me


πŸ’‘ Summary

My passion lies in designing and implementing efficient, maintainable software solutions using Python. I enjoy tackling complex problems, building robust data workflows, developing intuitive web applications and GUI tools, and exploring the frontiers of machine learning and natural language processing. I am committed to writing readable code, thorough documentation, and leveraging version control best practices for all my projects.


πŸ› οΈ Technical Skills

Languages

Python

Core Data & Scientific Stack

NumPy Pandas Matplotlib

Machine Learning & Deep Learning

scikit-learn PyTorch Transformers

Natural Language Processing & Retrieval

Hugging Face Transformers rank-bm25 fuzzywuzzy

Computer Vision & Imaging

Pillow

GUI

PyQt6

Web, Scraping & HTTP

Requests BeautifulSoup

Databases & Storage

MySQL SQLite

Testing & Development Practices

Git Unit Testing Virtual Environments


πŸš€ Featured Projects

Here are some of my key projects. For more details and to explore all my work, please visit my GitHub profile.

1. Personal Portfolio (Django)

  • Overview: A Django-based website showcasing my projects, resume, and contact information.

2. Data Analysis & ML Experiments (Pandas / scikit-learn / PyTorch)

  • Overview: A collection of scripts and notebooks focused on data cleaning, model training, and evaluation using various machine learning libraries.

3. GUI & Tools (PyQt6 / Pillow / reportlab)

  • Overview: Desktop utilities developed for image processing, report generation, and other productivity-enhancing tasks.

βš™οΈ How I Work / Setup Guidelines

  • Always use virtual environments for each project to manage dependencies effectively.
  • Keep sensitive information and API keys out of repositories by utilizing .env files or environment variables.
  • Ensure comprehensive documentation for setup and usage is included in each project's README.
  • Prioritize small, testable functions and implement unit tests for core logic to ensure reliability.

General Local Setup Example:

1. git clone <repo-url>
2. cd <repo-name>
3. python -m venv venv
4. source venv/bin/activate  # Windows: .\venv\Scripts\activate
5. pip install -r requirements.txt
6. Follow project-specific README for migrations/run instructions

πŸ“ž Contact

I am open to internships, collaborations, and contributing to open-source projects. Feel free to reach out!


🎯 Goals

  • Build a strong portfolio of Python web applications, GUI tools, and ML/NLP projects.
  • Actively contribute to open-source projects and collaborate with other developers.
  • Continuously improve my algorithmic and system design skills.

Pinned Loading

  1. disease-predictor disease-predictor Public template

    AI disease detection and prediction for humans, plants, and animals. Complete ML project with custom training, offline operation, no API keys. Detect diseases from images using deep learning and co…

    Python 9 1

  2. spiffy spiffy Public

    Advanced cybersecurity framework combining offensive (WiFi radar, auto-exploit, DNS enum, password cracker) and defensive (MITM detection, SSL audit, packet sniffer) capabilities with encrypted vau…

    Python 4

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  4. code-zenons/bot code-zenons/bot Public

    This project is a smart automated bot that helps users by replying to messages, answering questions, and performing tasks automatically. It works 24/7 without human help. The bot saves time, reduce…

    JavaScript