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Khiladi-786/README.md

Typing SVG


🌟 "Building real-world AI systems to fight cybercrime and create impact in India's tech ecosystem."


🧑‍💻 About Me

class NikhilMore:
    def __init__(self):
        self.name        = "Nikhil More"
        self.degree      = "B.Tech CSE (AI/ML) — University of Mumbai (2023–2027)"
        self.role        = "AI/ML Engineer | Computer Vision | Cybersecurity"
        self.mission     = "Build AI systems that fight cybercrime & empower India's tech ecosystem"
        self.location    = "Mumbai, India 🇮🇳"
        self.email       = "morenikhil7822@gmail.com"

    def current_focus(self):
        return [
            "🧠 Advanced Machine Learning & MLOps",
            "🔐 AI-powered Cybersecurity Systems",
            "🌍 Open Source Contributions",
            "🚀 Real-world AI Deployment"
        ]

    def goals(self):
        return {
            "students_trained":    "200+ in GitHub & Open Source",
            "os_contributors":     "Help 50+ students make first PR",
            "community":           "Build a thriving AI/ML dev community"
        }

me = NikhilMore()
print(me.mission)
# Output: Build AI systems that fight cybercrime & empower India's tech ecosystem

🛠️ Tech Stack & Skills

💻 Languages

Python SQL JavaScript HTML5 CSS3

🤖 ML & Data Science

Scikit-learn Pandas NumPy SHAP

🧠 Deep Learning & Computer Vision

TensorFlow OpenCV YOLOv8

🔧 Tools & Deployment

Flask Docker Git GitHub VS Code Jupyter


🚀 Featured Projects

🔐 Phishing URL Detection 🎯 Real-Time Object Detection 🤖 Smart Study Agent
Random Forest · SHAP · Flask YOLOv8 · OpenCV · Flask UI AI-Powered Learning Assistant
89.63% Accuracy · <100ms 29 Object Classes Productivity + Notes
11,430 URLs · Docker Real-Time Inference Student-First Design

🔐 Phishing URL Detection System

Defending India's internet users with explainable AI

  • 🎯 89.63% accuracy using Random Forest on 11,430 URLs
  • 🧠 SHAP explainability — model decisions you can actually trust
  • Real-time detection at under 100ms per URL
  • 🐳 Production-ready — Flask API + Docker containerization
  • 🔍 Transparent AI that shows why a URL is flagged

🎯 Real-Time Object Detection System

29 objects. Zero lag. Total vision.

  • 🚀 Powered by YOLOv8 + OpenCV for blazing-fast inference
  • 🌐 Flask-based web UI for seamless interaction
  • 📦 Detects 29 object categories in real-time video streams

📊 Customer Segmentation Engine

Turning raw data into business intelligence

  • 🔬 ML clustering to uncover customer behaviour patterns
  • 📈 Actionable insights for targeted marketing strategies
  • 💡 Bridges the gap between data science and business impact

🤖 Smart Study Agent

Your AI-powered personal tutor

  • 📚 AI assistant designed for student productivity
  • 🗒️ Helps with learning, notes, summaries, and study planning
  • 🎓 Built with the mission: make quality education accessible

Other Projects

Project Tech Highlight
📩 Email Spam Detection NLP · TF-IDF Text classification pipeline
🌾 Crop Recommendation Scikit-learn Agriculture + AI for India
🚗 Car Price Prediction Regression ML Feature engineering + tuning
📈 Sales Forecasting ML · Analytics Marketing ROI optimization

📊 GitHub Stats

Contribution Graph


🏆 GitHub Achievements

Pull Shark Quickdraw YOLO Pair Extraordinaire


💼 Experience & Roles

🏢  Data Science Intern        │  Code B Solutions
🤖  AI Intern                  │  Edunet Foundation
📊  Data Science Intern        │  Oasis Infobyte
🎓  Google Student Ambassador  │  Trained 50+ students
📘  GFG Campus Mantri          │  GeeksforGeeks
🔬  C-DAC Ambassador           │  Centre for Development of Advanced Computing

🌍 Open Source Journey

🌱 First PR              →    first-contributions (Mar 2026)
🤖 Real-World PR         →    JdeRobot/PerceptionMetrics — YOLO notebook robustness fix
                               +34 / -15 lines changed · 7 comments received
📦 Contributed To        →    public-apis repository
📊 Activity              →    155 contributions in the last year
                               58 commits across 8 repos in March 2026 alone
🎯 Next Goal             →    Help 50+ students make their first PR
🌟 Vision                →    Build India's strongest AI/ML open-source community

🔥 Highlighted Contribution

JdeRobot/PerceptionMetricsFix notebook errors and improve robustness for missing results, dataset, and dependencies Improved the usability of YOLO tutorial notebooks by handling NameError when results is undefined, missing dataset files, and broken dependencies. +34 / −15 lines · 7 comments

"Every contribution, no matter how small, moves the open-source world forward."


👥 Community Impact

🎓 Students Trained 🏫 Workshops Conducted 🌐 Ambassadorships 📊 GitHub Contributions
50+ GitHub & Open Source Google · GFG · C-DAC 155 in last year
  • 🧑‍🏫 Google Student Ambassador — conducted hands-on GitHub workshops for 50+ students
  • 📖 Promoted free learning resources through GFG Campus Mantri role
  • 🔭 Built a physics simulation tool to help students visualize real-world concepts
  • 🤝 Mentored beginners in their first open-source contributions

📚 Currently Learning

MLOps Advanced ML AI Deployment Open Source


🤝 Let's Connect

GitHub LinkedIn Email


💡 Open to collaborations on AI/ML projects, open source, and student mentorship!

Profile Views

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  1. Phishing_Deployment Phishing_Deployment Public

    ML-based phishing URL detection using Random Forest, SHAP explainability, Flask API & Docker. Trained on 11,430 URLs with 89.63% accuracy.

    Python 1

  2. Real-Time-object-detection- Real-Time-object-detection- Public

    Real-time object detection web app powered by YOLOv8 — detects 80 COCO classes via image upload or live webcam. Deployed with Flask. Detected 29 objects in a single image with 92% confidence.

    Python 1

  3. customer-segmentation-dashboard customer-segmentation-dashboard Public

    Interactive ML dashboard for customer segmentation using K-Means clustering. Features real-time predictions, 5-cluster PCA visualization, automated marketing recommendations. Live on Streamlit Clou…

    Python 1