A Python-based data analysis project exploring sugarcane production across countries. The project includes data cleaning, exploratory analysis, visualizations using Seaborn and Matplotlib, and correlation analysis to uncover patterns and insights in the dataset.

A curated collection of AI, ML, cybersecurity, and web projects by a VIT Bhopal CS student and hackathon enthusiast.

Semantic segmentation model for counting wheat heads in field images, designed for yield estimation, flowering time detection, and field maturity assessment.