ARYAN PAHARIBACKEND & APPLIED AIBack to projects
AgriTech smart agriculture application screen from its GitHub README
SELECTED ENGINEERING / Working demoAryan Pahari

AgriTech 2.0

A smart-agriculture application for crop recommendations, irrigation alerts and soil fertility checks.

Overview · Implementation · Evidence
01THE MOTIVATION

The problem

Crop decisions rely on soil conditions and changing environmental inputs. This application explores practical ML-assisted recommendations through a usable interface.

STATUS / Working demo

02UNDER THE HOOD

The implementation

THE BUILDBuilt recommendation and monitoring flows using soil nutrients, humidity, temperature and rainfall inputs. The repository documents the implemented screens and provides a live Streamlit app.

PythonMachine LearningStreamlitAgriculture
03ACTUAL ARTIFACTS

Inside the build

Screens from the application, with the workflow and context for each view.

04THE EVIDENCE

Read the source

Explore the code, run the application where available, or watch the original demonstration.