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AI/ML Engineer & Full-Stack Dev

VRAJ PATEL

Architecting Intelligent Systems with Deep Learning & Code

Discover the logic behind a portfolio that echoes innovation, algorithms, and seamless digital experiences.

Machine Learning

Building predictive models and intelligent algorithms

Computer Vision

Extracting deep insights from complex visual data

Full-Stack Dev

Creating seamless end-to-end web applications

Data Science

Transforming raw data into actionable intelligence

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// 01 — About
WHO AM I?

Motivated B.Tech Information Technology student at MBIT, Anand, Gujarat. I specialize in building end-to-end AI-powered systems — from real-time computer vision pipelines to full-stack civic platforms.

I thrive at the intersection of machine learning and software engineering, turning complex ideas into real-world, deployable solutions. Fast learner, team player, and always chasing the next hard problem.

CUMULATIVE GRADE POINT AVERAGE
8.50/10
SEMESTER PERFORMANCE
// 02 — Skills
MY SKILLS
🌐 Frontend
HTML CSS JavaScript
🤖 AI / ML
TensorFlow Scikit-learn MediaPipe OpenCV YOLO
🐍 Python
NumPy Streamlit Matplotlib Plotly Pandas
🛠️ Tools & Libraries
Flask Git GitHub SQLite PostgreSQL Render
⚡ Vibe Coding
Claude Cursor Antigravity Copilot
💡 Soft Skills
Problem Solving Teamwork Logical Thinking Fast Learner
// 03 — Projects
WHAT I'VE BUILT
vraj_patel — portfolio.py
EXPLORER
▼ PROJECTS
stocksense.py
civic_system.py
smart_attendance.py
driver_monitor.py
stocksense.py ✕
civic_system.py ✕
smart_attendance.py ✕
driver_monitor.py ✕
portfolio › projects › stocksense.py
1# Project: StockSense AI
2# Year: 2025
3
4class StockSenseAI:
5 def __init__(self):
6 self.title = "StockSense AI"
7 self.description = "AI-powered stock analysis chatbot that provides real-time insights, technical indicators, and interactive charts."
8
9 self.tech_stack = [
10 "Flask", "XGBoost", "GARCH", "Plotly", "yfinance"
11 ]
12
13 self.features = [
14 "Built with Flask, XGBoost, GARCH, and yfinance API",
15 "Real-time market data analysis and visualization",
16 "Technical Indicators: RSI, MACD, SMA, Bollinger Bands",
17 "Natural language query processing via NLP",
18 "Hybrid buy/sell recommendations with confidence scores"
19 ]
20
21 def get_links(self):
22 return {
23 "github": "https://github.com/vrajptl275/stocksense-ai",
24 "live": # Deployment coming soon
25 }
26
27# Initialize StockSense AI
28project = StockSenseAI()
29
1# Project: Anand Civic System
2# Year: 2025
3
4class AnandCivicSystem:
5 def __init__(self):
6 self.title = "Anand Civic System"
7 self.description = "Full-stack civic complaint management platform with 4-level role-based access control for Anand city government."
8
9 self.tech_stack = [
10 "Flask", "PostgreSQL", "Gemini AI", "Leaflet.js", "JWT", "bcrypt"
11 ]
12
13 self.features = [
14 "4-Role RBAC: Citizen, Officer, Department, Admin",
15 "GPS polygon boundary validation using Leaflet.js",
16 "Gemini AI image analysis for auto-categorization",
17 "JWT + bcrypt authentication and session management",
18 "6-stage complaint lifecycle with real-time notifications",
19 "PostgreSQL with full audit trail"
20 ]
21
22 def get_links(self):
23 return {
24 "github": "https://github.com/Deadpool20x/civic-issue-system",
25 "live": # Deployment coming soon
26 }
27
28# Initialize Anand Civic System
29project = AnandCivicSystem()
30
1# Project: Smart Attendance
2# Year: 2024
3
4class SmartAttendance:
5 def __init__(self):
6 self.title = "Smart Attendance"
7 self.description = "Face recognition-based academic attendance system with real-time detection and multi-role dashboards."
8
9 self.tech_stack = [
10 "Flask", "OpenCV", "face_recognition", "SQLite"
11 ]
12
13 self.features = [
14 "Real-time face detection using OpenCV + dlib",
15 "Multi-role dashboards: Admin, Teacher, Student",
16 "Automated CSV and PDF report generation",
17 "Attendance analytics with visual charts",
18 "Session management and audit logs"
19 ]
20
21 def get_links(self):
22 return {
23 "github": "https://github.com/vrajptl275/smart-attendance",
24 "live": # Deployment coming soon
25 }
26
27# Initialize Smart Attendance
28project = SmartAttendance()
29
1# Project: Driver Monitoring
2# Year: 2026
3
4class DriverMonitor:
5 def __init__(self):
6 self.title = "Driver Monitoring"
7 self.description = "Real-time dual-phase driver safety system using computer vision for drowsiness and distraction detection."
8
9 self.tech_stack = [
10 "Python", "MediaPipe", "YOLOv11", "OpenCV", "dlib"
11 ]
12
13 self.features = [
14 "Phase 1: EAR-based drowsiness detection with dlib",
15 "Phase 2: YOLOv11 for mobile phone detection",
16 "3D head pose estimation via MediaPipe",
17 "CLAHE + gamma correction for low-light environments",
18 "Custom-trained YOLOv11 on annotated dataset",
19 "Real-time alert system with audio feedback"
20 ]
21
22 def get_links(self):
23 return {
24 "github": # Private Repository (NDA),
25 "live": # Deployment coming soon
26 }
27
28# Initialize Driver Monitoring
29project = DriverMonitor()
30
 vraj/portfolio main* ⚡ 0   ⚠ 0
Ln 1, Col 1 Spaces: 4 UTF-8 🐍 Python 3.12
// 04 — Hackathons
BATTLE LOG
⚡ 36-HOUR SPRINT

CVMU Hackathon 4.0

2026
vraj/portfolio cvmu* █
🏛️ SIH QUALIFIER

Internal SIH Selection

2025
vraj/portfolio sih* █
// 05 — Contact

LET'S BUILD
THE FUTURE

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