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Khiladi-786/README.md

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class NikhilMore:

    name     = "Nikhil More"
    location = "Mumbai, India 🇮🇳"
    degree   = "B.Tech CSE (AI/ML) · University of Mumbai · 2023–2027"
    mission  = "Build AI systems that fight cybercrime & empower India's tech ecosystem"

    stack = {
        "AI/ML"     : ["Scikit-learn", "TensorFlow", "YOLOv8", "SHAP"],
        "Vision"    : ["OpenCV", "Real-Time Detection", "YOLO Notebooks"],
        "Deploy"    : ["Flask", "Docker", "REST APIs"],
        "Languages" : ["Python", "SQL", "JavaScript", "HTML/CSS"],
    }

    currently = [
        "🧠  Mastering MLOps & advanced model deployment",
        "🔐  Building explainable AI for cybersecurity",
        "🌍  Learning open source by submitting PRs (JdeRobot, public-apis)",
        "🧑‍🏫  Helping fellow students take their first steps into open source",
    ]

    def __repr__(self):
        return f"AI Engineer passionate about real-world impact @ {self.location}"

🛠️ Tech Arsenal

Languages

Python SQL JavaScript HTML5 CSS3

AI · ML · Computer Vision

Scikit-learn TensorFlow OpenCV YOLOv8 SHAP Pandas NumPy

Deployment · DevOps · Tools

Flask Docker Git GitHub VS Code Jupyter


🚀 Featured Projects

Project Stack Metric
🔐 Phishing URL Detection Random Forest · SHAP · Flask · Docker 89.63% Acc · <100ms
🎯 Real-Time Object Detection YOLOv8 · OpenCV · Flask UI 29 objects in one frame
📊 Customer Segmentation Engine Scikit-learn · Pandas · Streamlit 5-Cluster ML Model
🤖 Smart Study Agent AI Assistant · NLP Student-First Design

🔐 Phishing URL Detection System

Explainable AI aimed at defending internet users — in real time

 ✦  89.63% Accuracy      ·  Random Forest on 11,430 URLs
 ✦  SHAP Explainability   ·  Every decision is transparent, not a black box
 ✦  < 100ms Inference     ·  Real-time URL scanning
 ✦  Production-Ready      ·  Flask REST API + Docker, deployed live

Why it matters: Most phishing detectors are black boxes. This one shows exactly which URL features triggered the alert — an attempt to build trust in AI-powered cybersecurity tools.


🎯 Real-Time Object Detection System

29 objects detected in a single frame, no lag

 ✦  YOLOv8 + OpenCV      ·  Real-time inference pipeline
 ✦  80 COCO Classes       ·  Broad multi-category detection
 ✦  Flask Web UI          ·  Clean, browser-accessible interface

📊 Customer Segmentation Engine

Turning raw customer data into a starting point for marketing strategy

 ✦  K-Means Clustering    ·  5 customer segments identified
 ✦  Streamlit Dashboard   ·  Interactive, real-time predictions
 ✦  Business-Oriented     ·  Built to bridge data science ↔ marketing decisions

🤖 Smart Study Agent

An AI-powered study companion, built to make prep a little easier

 ✦  AI Assistant          ·  Summaries, notes, and study planning
 ✦  Student-First          ·  Designed for everyday use, not complexity

📦 More Projects

Project Stack Highlight
📩 Email Spam Detection NLP · TF-IDF End-to-end text classification pipeline
🌾 Crop Recommendation Scikit-learn ML applied to Indian agriculture
🚗 Car Price Prediction Regression ML Feature engineering + hyperparameter tuning
📈 Sales Forecasting ML · Analytics Advertising-spend based sales prediction

🌍 Open Source — Learning in Public

I'm early in my open-source journey and I'm honest about that — most of what's below are attempts, submissions, and lessons, not victory laps.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  🌱  First PR              →  first-contributions  (Mar 2026)

  🤖  Tried Contributing To →  JdeRobot / PerceptionMetrics
                               Submitted a fix for notebook errors
                               (undefined results, missing datasets,
                               broken dependencies) — under review

  📦  Explored               →  public-apis repository

  📊  Activity               →  155 contributions in the last year
                                58 commits across 8 repos in March 2026

  🎯  Next Goal               →  Get my first PR merged into a
                                  well-known open-source project

  🌟  Longer-Term Goal        →  Help other students at my campus
                                  make their first open-source attempt

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

JdeRobot/PerceptionMetrics — Submitted a fix for YOLO tutorial notebooks addressing a NameError on undefined results, missing dataset references, and broken dependencies. Still learning how maintainers review and merge contributions — this was a real attempt, not a finished success story.


💼 Experience

╔══════════════════════════════════════════════════════════════════╗
║  🏢  Data Science Intern      │  Code B Solutions               ║
║  🤖  AI Intern                │  Edunet Foundation              ║
║  📊  Data Science Intern      │  Oasis Infobyte                 ║
║  🎓  Google Student Ambassador│  Ran sessions for 50+ students  ║
║  📘  GFG Campus Mantri        │  GeeksforGeeks                  ║
║  🔬  C-DAC Ambassador         │  Centre for Advanced Computing   ║
╚══════════════════════════════════════════════════════════════════╝

👥 Community Involvement

🧑‍🏫 Students in Sessions 📊 Contributions (1yr) 🏛️ Ambassadorships ⚡ Commits in Mar '26
50+ 155 Google · GFG · C-DAC 58
  • 🎓 Google Student Ambassador — ran hands-on GitHub & open-source sessions for 50+ students
  • 📖 GFG Campus Mantri — helped promote free learning resources on campus
  • 🔭 Built a small physics simulation tool as a side project to help visualize concepts
  • 🤝 Actively encouraging beginners around me to try their first open-source PR — even when it doesn't get merged on the first try

📊 GitHub Stats


📚 Currently Learning

MLOps Advanced ML AI Deployment Open Source


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

"Every model trained — and every PR submitted, merged or not — is a step forward."

Pinned Loading

  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

  4. Sales_Prediction_Model Sales_Prediction_Model Public

    ML model to forecast product sales based on TV, radio, and newspaper advertising spend. Provides ROI analysis and budget optimization insights.

    Jupyter Notebook 1