Healthify AgriTech

All the details regarding the Summer Project are present here

✨Theme of the Project

The Projects is based on the Idea of Addressing real-life problems in the Agricultural sector and Healthcare sector. It can be also considered as the Minimal Viable Product.

🧐Motivation

• Farming & Healthcare System are major sectors that influence a country’s economic growth and Human Resources.

• In-country like India, the majority of the population is dependent on agriculture for their livelihood. Many new technologies, such as Machine Learning and Deep Learning, are being implemented into agriculture so that it is easier for farmers to grow and maximize their yield.

• In Recent times of Pandemic the need for Healthcare to adopt Technology to work efficiently has encountered.

• 🌿In this project, We present a website in which the following applications are implemented; Crop recommendation, Fertilizer recommendation and Plant disease prediction respectively in the domain of Agriculture.

  • In the crop recommendation application, the user can provide the soil data from their side and the application will predict which crop should the user grow.

  • For the fertilizer recommendation application, the user can input the soil data and the type of crop they are growing, and the application will predict what the soil lacks or has an excess of and will recommend fertilizer to be given to soil.

  • For the last application, which is the plant disease prediction application, the user can input an image of a diseased plant leaf, and the application will predict what disease it is and will also give a little background about the disease and suggestions to cure it.

• 🎗For the Healthcare system we have Stroke Prediction and Life Expectancy of a persona according to the provided inputs.

  • For the Stroke Prediction application, the user can input the physical and mental state, and the application will predict the probability of whether a patient is likely to get a stroke based on the input parameters like gender, age, various diseases, and smoking status.

  • For the Life expectancy application user have to input the features, since the observations are based on different countries, it will be easier for a country to determine the predicting factor which is contributing to the lower value of life expectancy. This will help in suggesting a country which area should be given importance in order to efficiently improve the life expectancy of its population.

🔑Go to -

• Detailed Documentation
• Deployment of Models using web-application

📡Technologies to be used

1. Machine learning
2. Deep Learning
3. Data Analysis
4. Front-End (Web Design/HTML & CSS)
5. Back-End (Flask/Django)
6. Product Analysis & Design
7. Cloud Computing

📌Project Description

In this Project, we will Design web applications for the Prediction of some of the common problems and issues faced in the Agricultural and Healthcare sector by the use of Data Analysis and Machine learning. After Building the model for the prediction we will develop a web application for the models and then deploy them on the Cloud Technologies for public use. After deploying the models we will integrate all the web application on the website.

✂Project Sections

1. Agriculture
2. Healthcare

Name	Domain	Data-set	Primary Technology
Crop Recommendation	Agriculture	Crop-data	Machine Learning
Fertilizer Prediction	Agriculture	fertilizer-data	Machine Learning
Plant Disease	Agriculture	plant-disease-data	Deep Learning
Stroke Prediction	Healthcare	stroke-data	Machine Learning & Data Analysis
Life Expectancy	Healthcare	exptency-data	Machine Learning & Data Analysis

🪁Detailed Documentation

Please find the detailed documentation here

The Public link for using the services is here

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