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😂 just shipping code
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😂 just shipping code
320 followers · 904 following

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Achievement: Pull SharkAchievement: Quickdraw

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ADAMSmugwe/README.md

Demo Video
GOOGLE DEVELOPER LEAD FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Hi there, I'm Adams Mugwe 👋

Typing SVG

Passionate GDG Lead, building scalable solutions in AI, web, and design.
I create impactful products as a Full Stack Developer, AI/ML Engineer, and UI/UX Designer.
Currently working on a neural network, Mpesa Integration , and a poultry farm management system.

⚡ Skills

Frontend
 Backend
 AI/ML

📊 GitHub Stats

GitHub Metrics

GitHub Metrics

GitHub Activity Graph

GitHub Activity Graph

🔥 GitHub Streak

My GitHub Streak

GitHub Streak

🗣️ Languages & Metrics

📈 Language Usage

Language Usage Chart

⏱️ Coding Activity (WakaTime)

🌐 Connect with Me

Fetch Commit Counts with Python

You can use this script to fetch your commit counts for 2025 and 2026:

import requests

USERNAME = "ADAMSmugwe"
TOKEN = "YOUR_PERSONAL_ACCESS_TOKEN"  # Replace with your GitHub token
headers = {"Authorization": f"token {TOKEN}", "Accept": "application/vnd.github.cloak-preview"}

def get_commit_count(start, end):
    url = f"https://api.github.com/search/commits?q=author:{USERNAME}+committer-date:{start}..{end}"
    response = requests.get(url, headers=headers)
    data = response.json()
    return data.get("total_count", 0)

# 2025
count_2025 = get_commit_count("2025-01-01T00:00:00Z", "2025-12-31T23:59:59Z")
print(f"Commits in 2025: {count_2025}")

# 2026
count_2026 = get_commit_count("2026-01-01T00:00:00Z", "2026-12-31T23:59:59Z")
print(f"Commits in 2026: {count_2026}")

Visual Commit Data (2025 & 2026)

Commits Bar Chart

Kenya Committers Badge

committers.top badge

Let's build something amazing together!

Pinned Loading

  1. Face-recognition- Face-recognition- Public

    Python 3

  2. mpesa-API-wrapper-for-node.js mpesa-API-wrapper-for-node.js Public

    TypeScript 4

  3. binwise binwise Public

    AI-powered waste classification API — photograph any waste item and instantly know which bin it belongs in. Built with CLIP zero-shot learning and Django REST Framework

    Python 3

  4. Micro-Neutral-Network Micro-Neutral-Network Public

    A feedforward neural network implemented with NumPy

    Python 1

  5. the-ai-ear the-ai-ear Public

    Forked from MASSIVEMAGNETICS/the-ai-ear

    The AI Ear is an outside-the-box, frontier, enterprise-grade AI system that gives machines the ability to truly hear — not just transcribe, but holistically understand the acoustic world in real time.

    Python 1

  6. pytorch/pytorch pytorch/pytorch Public

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 98.4k 27.2k