Smart-India-Hackathon-SIH_2019

Problem-Statement: AI solution for Farmer for Crop and Fertilizer Recommendation, Pest recognition and proper guideline.

Technology

FrontEnd

• HTML
• CSS
• Bootstrap
• Jquery
• Javascript
• Ajax

BackEnd

• Flask

Database

• Firebase

External Library

• Chart.js
• Animate.js
• Twillo

Python Library

• Keras
• Tensorflow
• opencv
• Numpy
• Pandas
• scikit-learn
• Pillow
• bs4
• requests
• os
• pyrebase
• firebase-admin
• Twillo
• OWA
• Flask

R Library

• Shiny
• GeoR
• Gstat
• Ap
• Automap
• Lattice
• Raster
• RgoogleMaps
• Leaflet

Screenshots

Pest Prediction CNN model

ML Implementation

• Keras
• Tensoflow
• Pillow
• Numpy
• Opencv

Build CNN model trained on 10k image dataset provided kaggle of different Healthy and Unheathy plant image dataset

Kriging (Fertilizer Prediction)

ML implementaion

• shiny
• geoR
• gstat
• sp
• automap
• lattice
• raster
• RgoogleMaps
• leaflet

Using Clustering and Interplolation technique with Kriging this will predict the Amount of N, P, K and pH.

Weather Prediction

• openweathermap
• bs4

Given Two type of weather forcast

• Openweathermap Api give the real time forcast
• Web Scarping using bs4 (python library) will give the 15 days weather forcast

Crop Recomendation

ML Implementation

• Pandas
• Numpy
• scikit-learn

Market Stats

• Google Map Api
• Chart.js
• Ajax
• Javascript

MultiLangauge Support

• Google Translater Api