KRISHINETRA

A website for Forest Department of India to tracking all individual sapling by taking benefit Social Media

Working Screenshots

Crop prediction	Plant health Detection	Web Application

Problem Statement

In India, people show interest in planting saplings, but most of them are left unattended and either grow out or wither away. This calls for a unified system intended to distribute saplings to the people and track their status.

Research

Conclusion

Sapling survival rates in India are low because:

1.People lose interest in taking care of sapling

2.Individual level monitoring is difficult

3.Variable Climatic conditions and soil profile

 AIM :Right Person Right Place

Key Features

1. Documented log of users and saplings distributed using Instagram
   
2. Crop prediction using location and image
   
3. Weekly and monthly user reports via Instagram stories/post
   
4. Disease and growth detection using ML
   
5. Social credit system to boost engagement
   
6. POI algorithm minimizes loss of saplings
   
7. Validation via Captcha
   

ML Prebuild Models used

CROP PREDICTION ML MODEL (Random Forest Algorithm) - https://github.com/Phantom-Studiosad/Intelligent_CropPrediction_System

PLANT DISEASE DETECTION (CNN) - https://github.com/manthan89-py/Plant-Disease-Detection.git

Setup

##How to use the software

1.Installing on libraries

  pip install -r requirements.txt

2.Running the website

uvicorn backend:app --reload

3.Running the instagram Bot server

python -u "instagram_bot\Instagram_checker.py"