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| 🔐 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 |
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
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
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
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
| 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 |
🏢 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
🌱 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
JdeRobot/PerceptionMetrics — Fix notebook errors and improve robustness for missing results, dataset, and dependencies Improved the usability of YOLO tutorial notebooks by handling
NameErrorwhen 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."
| 🎓 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



