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Achievement: YOLO

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Sanskar-Dwivedi/README.md

Sanskar Dwivedi — Learn the internals. Build something useful.

Selected projects   /   Toolkit   /   Learning in public


I'm Sanskar. I build with Python and C++, study data structures and algorithms, and explore neural networks from scratch. I like connecting what I learn to something I can run, inspect, and improve.

Selected projects

Digit Identifier — handwritten digit recognition with a neural network built from scratch in Python and NumPy. SPARC — a React, TypeScript, and FastAPI dashboard for satellite-derived environmental change.

Obsidian — a Windows phishing-detection project with URL checks, visual analysis, alerts, and a Flask dashboard. Prompt Footprint — a JavaScript extension that counts ChatGPT prompts locally and estimates water use from a fixed assumption.

GauKavach — a Python research prototype for roadside livestock detection, decision rules, and simulation. The practice log — my NeetCode data structures and algorithms submissions.

Each project is a work in progress. Open a card for its code, setup instructions, and current limitations.

Toolkit

Languages and libraries used in my projects: Python, C++, JavaScript, TypeScript, NumPy, React, FastAPI, and Flask.

Also in the workflow: Git, GitHub, and Playwright.

Learning in public

  • Understand the model: implement forward propagation, backpropagation, and gradient descent with NumPy.
  • Sharpen the fundamentals: practise data structures and algorithms through NeetCode submissions.
  • Connect the pieces: bring models, APIs, and interfaces together in practical projects.

Learn → build → understand → repeat.

Explore all repositories ↗

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  1. Obsidian Obsidian Public

    Phishing Detection Agent

    Python 1

  2. digitIdentifier digitIdentifier Public

    Identify Handwritten Digits Using Numpy and MNIST dataset Using Neural Network

    Python 3

  3. Prompt-Footprint Prompt-Footprint Public

    Measuring the invisible cost of AI interaction.

    JavaScript 5

  4. yRush yRush Public

    Online stationary for YCCE

    HTML 1 1

  5. SPARC SPARC Public

    Python 2

  6. SurakshaMarg-RealOne SurakshaMarg-RealOne Public

    HTML