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Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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Not-muzzyy/README.md

Header



╔══════════════════════════════════════════════════════════════════════════════╗
║                                                                            ║
║   ░░░  CLASSIFICATION: S-RANK  ░░  THREAT_LEVEL: ELEVATED  ░░░            ║
║                                                                            ║
║   ╭─────────────────────────────────────────────────────────────────╮     ║
║   │                                                                 │     ║
║   │   OPERATOR_ID   ▸  Mohammed Muzamil C                          │     ║
║   │   CODENAME      ▸  Not-muzzyy                                  │     ║
║   │   BASE          ▸  Ballari, Karnataka — 『 India 』             │     ║
║   │   AFFILIATION   ▸  BCA Final Year ✦ NIMS × VSKUB               │     ║
║   │   CLEARANCES    ▸  [Google Cloud ✦ HuggingFace ✦ Anthropic×3]  │     ║
║   │                                                                 │     ║
║   │   PRIMARY_OBJ   ▸  Cybersecurity · Threat Detection · AI        │     ║
║   │   SECONDARY_OBJ ▸  AI Red Teaming · LLM Security               │     ║
║   │   STATUS        ▸  ● ACTIVE  ◉ OPERATIONAL                     │     ║
║   │                                                                 │     ║
║   │   CAREER_ARC    ▸  SOC Analyst  →  CEH  →  OSCP                │     ║
║   │                    「 One certification at a time. 」            │     ║
║   │                                                                 │     ║
║   ╰─────────────────────────────────────────────────────────────────╯     ║
║                                                                            ║
╚══════════════════════════════════════════════════════════════════════════════╝

  


GitHub Metrics


🛡️ Mini-SIEM AI

ML-powered security ops platform. 6 attack types, SHAP explainability, Groq LLM threat reasoning, auto-generated PDF incident reports.

╭─ CAPABILITIES ──────────────────────╮
│ ▸ 6 Attack Types  ▸ Risk 0–100      │
│ ▸ SHAP Analysis   ▸ AI PDF Reports  │
│ ▸ Groq LLM Engine ▸ Real-time Alerts│
╰─────────────────────────────────────╯

Repo Live Python Groq

🎣 Phishing Detector

3-layer ML pipeline — NLP + URL inspection + meta-ensemble. Zero hardcoded rules. 2,378 LinkedIn impressions on launch.

╭─ THREAT METRICS ────────────────────╮
│ ▸ Confidence: 97%  ▸ 3-Layer Stack  │
│ ▸ NLP Analysis     ▸ URL Inspection │
│ ▸ Zero Hardcoded   ▸ 2.3K Impressions│
╰─────────────────────────────────────╯

Repo Live Python ML

📄 ResumeAI

Upload resume → ATS score + gap analysis + fix suggestions + rebuilt DOCX. Powered by Groq LLaMA 3.3 70B. Real recruiter logic.

╭─ CAPABILITIES ──────────────────────╮
│ ▸ ATS Scoring      ▸ Gap Detection  │
│ ▸ Fix Suggestions  ▸ DOCX Rebuild   │
│ ▸ Groq LLM 70B    ▸ Recruiter Logic │
╰─────────────────────────────────────╯

Repo Live Python Groq

🎓 EduSathi

RAG on VSKUB question papers. PDF parsing + MCQ generation + knowledge gap detection. Built for Indian university students.

╭─ CAPABILITIES ──────────────────────╮
│ ▸ RAG Pipeline    ▸ MCQ Engine      │
│ ▸ PDF Parsing     ▸ Gap Detection   │
│ ▸ VSKUB Papers   ▸ Topic Summaries  │
╰─────────────────────────────────────╯

Repo Live Python RAG

🌐 Pollution Intelligence Grid

AI environmental risk forecasting — spatial spread modeling, 7-day forecasting, anomaly detection, interactive geo map. Built in 24hrs at Chakravyuha 3.0.

╭─ CAPABILITIES ──────────────────────╮
│ ▸ 24hr Hackathon  ▸ Geo Mapping     │
│ ▸ 7-Day Forecast  ▸ Anomaly Detect  │
│ ▸ Spatial Model   ▸ Interactive Map │
╰─────────────────────────────────────╯

Repo Python Folium Plotly

🔍 ScamLens

AI-powered scam detection for WhatsApp & Telegram. Multilingual (English, Hindi, Hinglish), voice authenticity checks, one-click report integration, PDF evidence cards.

╭─ CAPABILITIES ──────────────────────╮
│ ▸ LLaMA 3 (Groq)  ▸ Whisper API    │
│ ▸ OCR (Tesseract) ▸ PDF Evidence   │
│ ▸ Multilingual    ▸ Voice Checks   │
╰─────────────────────────────────────╯

Python Flask Groq

 

╔══════════════════════════════════════════════════════════════════════════╗
║                                                                        ║
║   〖 LANGUAGES 〗    Python  ·  JavaScript  ·  R  ·  HTML/CSS  ·  SQL  ║
║   〖 ML / AI 〗      Scikit-Learn  ·  SHAP  ·  NLP  ·  RAG  ·  LangChain ║
║   〖 LLM STACK 〗    Groq (LLaMA 3.3 70B)  ·  Anthropic  ·  HuggingFace ║
║   〖 SECURITY 〗     SIEM  ·  Threat Detection  ·  Phishing Analysis    ║
║   〖 PLATFORMS 〗    Linux  ·  Git  ·  GitHub Actions  ·  Streamlit      ║
║   〖 WORKFLOW 〗     n8n  ·  VS Code  ·  Ollama  ·  Docker               ║
║                                                                        ║
╚══════════════════════════════════════════════════════════════════════════╝


Google HuggingFace Anthropic Anthropic Anthropic


╔══════════════════════════════════════════════════════════════════════╗
║                                                                    ║
║   [▓▓▓▓▓▓▓▓░░]  80%  ━━  CEH — Certified Ethical Hacker           ║
║   [▓▓▓▓░░░░░░]  40%  ━━  CompTIA Security+                        ║
║   [▓░░░░░░░░░]  10%  ━━  OSCP — The Long Game                     ║
║   [▓▓▓░░░░░░░]  30%  ━━  Open Source Contributions                ║
║   [▓▓▓▓▓▓░░░░]  60%  ━━  SOC Analyst Role                         ║
║   [▓▓▓▓▓░░░░░]  50%  ━━  MCA / Higher Studies (PGCET 2026)        ║
║                                                                    ║
╚══════════════════════════════════════════════════════════════════════╝




〖 EVENT 〗 〖 PROJECT 〗 〖 STACK 〗 〖 STATUS 〗
HackArena 2K26 — JCET Hubballi CampusIQ Flask · SQLite · Groq ✦ CLEARED
HackWithBangalore 2.0 Team CODEX Python · AI Stack ✦ CLEARED
The Big Code 2026 — Google/HE TBD TBD ✦ QUALIFIED
Chakravyuha 3.0 — BITM Pollution Grid Python · Folium ✦ CLEARED


root@muzzyy:~$ echo "『 Building defenses from Ballari that protect the internet. 』 🌐"


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  1. phishing-detector-advanced phishing-detector-advanced Public

    Advanced phishing detection system for English, Hindi, and Hinglish using machine learning, URL intelligence, email analysis, and AI-powered threat assessment.

    Python 4 1

  2. mini-siem-ai mini-siem-ai Public

    AI-powered SIEM with ML attack detection, SHAP explainability & automated PDF incident reports

    Python 1

  3. ATS-Resume ATS-Resume Public

    Free ATS resume checker, builder & improver powered by Groq AI — built with Streamlit, python-docx

    Python 1