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}"| 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 |
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.
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
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
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
| 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 |
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
NameErroron 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.
╔══════════════════════════════════════════════════════════════════╗
║ 🏢 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 ║
╚══════════════════════════════════════════════════════════════════╝
| 🧑🏫 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



