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Vedag812/README.md

           

About

Second-year Computer Science Engineering student with a strong focus on Machine Learning, Data Science, and Natural Language Processing. I build ML models, contribute to production-level open-source projects, and solve real-world data problems.

Active open-source contributor across multiple repositories — from Microsoft's VS Code editor to accessibility tools and iOS apps. Selected as an HPAIR Delegate at Harvard University, national-level Smart India Hackathon participant, and completed professional simulations with British Airways and Deloitte. Participated in Google's GenAI Workshop & Hackathon on Kaggle.

Driven by the challenge of building intelligent systems that create real impact.

🌍 Open Source Contributions

Project Description PR
microsoft/vscode Fixed accessibility bug — missing keybinding delimiter affecting screen readers Merged
microsoft/vscode Fixed 8 typos across 5 core source files #295415
kiwix/kiwix-apple Implemented smooth tab switching with fade animations PR
genidma/teatime-accessibility Fixed spreadsheet compatibility for exported stats data Merged
azapg/FAIR Built the enrollment system feature Merged

🛠️ Skills

Python SQL C++ Java JavaScript PyTorch TensorFlow Keras scikit-learn XGBoost Pandas NumPy Plotly Matplotlib Seaborn Transformers NLTK Power BI Tableau PostgreSQL Git Jupyter Google Colab

📊 GitHub

  



3D Contribution Calendar

Open to collaborations in ML/AI, Data Science, and Open Source.
📧 vedantagarwal039@gmail.com · 💼 LinkedIn

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    “Bring your interior design ideas to life with AI — style, place, and visualize rooms using the power of Google Gemini.”

    TypeScript 5 4

  2. Image_Classification Image_Classification Public

    This project implements a Convolutional Neural Network (CNN) to classify chest X-ray images. The pipeline covers data preparation, augmentation, model training, and evaluation, delivering accurate …

    Python

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    Java

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    KrishiSevak: AI-powered farming assistant that helps Indian farmers optimize yields through satellite imagery, ML predictions, and actionable insights in their native language

    TypeScript

  5. Retail-Agent Retail-Agent Public

    TypeScript