const payal = {
education: "B.Tech in ICT, Marwadi University, Rajkot",
experience: ["Intern at AI GURU", "Intern at IEEE Signal Processing Society"],
currentlyWorking: "Fruit Ripeness Detection",
currentlyLearning: "MERN Stack Development",
expertise: ["Full Stack Development", "C#", "MySQL", "JavaScript"],
askMeAbout: ["YOLOv8", "Git", "GitHub", "Machine Learning"],
passion: "Creating innovative solutions for real-world problems"
};| Project | Technologies | Description |
|---|---|---|
| π½οΈ Food Demand & Waste Forecasting | Python ML Pandas |
Predicts food demand and potential waste using machine learning to support data-driven resource planning |
| π Train Booking System | C++ DSA Graphs |
Backend system that computes alternate train routes using DFS & Dijkstra on graph-based networks |
| π Fruit Ripeness Detection | Python OpenCV ML |
Computer vision model that classifies fruit ripeness from images using feature extraction & ML |
| π¦οΈ Weather App | HTML CSS JavaScript API |
Frontend weather app fetching real-time data from APIs with clean UI and dynamic updates |
| π©Έ Blood Bank Management System | C# .NET Windows Forms |
Desktop application for managing donors, recipients, and blood records using form-based workflows |


