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https://github.com/anshumanbehera27/bharatagroandriodapp
Bharat Agro is a cost optimization tool for farmers, providing insights on crop selection, fertilization strategies, weather conditions, and soil reporting to maximize profits.
https://github.com/anshumanbehera27/bharatagroandriodapp
android firebase-realtime-database fragement kotlin kotlin-coroutines material-design recyclerview xml
Last synced: 2 days ago
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Bharat Agro is a cost optimization tool for farmers, providing insights on crop selection, fertilization strategies, weather conditions, and soil reporting to maximize profits.
- Host: GitHub
- URL: https://github.com/anshumanbehera27/bharatagroandriodapp
- Owner: anshumanbehera27
- License: mit
- Created: 2024-05-30T15:34:29.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-08-16T14:43:50.000Z (3 months ago)
- Last Synced: 2024-08-16T16:15:04.372Z (3 months ago)
- Topics: android, firebase-realtime-database, fragement, kotlin, kotlin-coroutines, material-design, recyclerview, xml
- Language: Kotlin
- Homepage:
- Size: 14.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Bharat Agro
# Introduction
Bharat Agro is a cutting-edge cost optimization app designed to empower farmers with essential tools and insights for effective farming. The app helps farmers make informed decisions by providing:
- **Crop Selection Guidance**: Recommendations on the best crops to grow based on local conditions.
- **Fertilizer Usage**: Advice on the optimal fertilizers to use for different crops.
- **Weather Conditions**: Current and forecasted weather data to plan farming activities.
- **Soil Reporting Centers**: Information on nearby soil testing centers to analyze soil quality.
Bharat Agro utilizes Firebase to manage data, featuring two main sections:
- **Admin**: Admins can upload, delete, and manage data within the app.
- **User**: Users can access and read the data provided.
The app also includes:
- **Chart Section**: An interactive chatbot, powered by the Gemini API, that answers users' queries about farming.
- **Profile Section**: A straightforward area where users can view and manage their basic information.
With these features, Bharat Agro aims to streamline farming operations and enhance productivity through comprehensive, data-driven insights.
## Workflow OF this App
## 🔧 Built with
Technologies used in the project:
- Kotlin
- Xml
- Firebase
- Flask
- MLAlgorithms
- Gemini Api
- Meterial 3 desine
---
## Workflow of Backend and API Documentation
---
## Workflow Explanation
---
1. **Data Collection**
- Source data from Kaggle and government websites.
- This data includes various attributes necessary for crop and fertilizer predictions.
2. **Data Preprocessing**
- Clean and preprocess the collected data.
- Handle missing values, normalize data, and perform any necessary transformations to make the data suitable for training models.
3. **Model Training**
- Use the preprocessed data to train machine learning models.
- Implement different algorithms to find the best-performing models for crop and fertilizer predictions.
4. **Model Testing**
- Evaluate the trained models using test data.
- Ensure the models provide accurate predictions and generalize well to new, unseen data.
5. **Store the Model in .pkl File**
- Save the top accuracy models in `.pkl` (pickle) format.
- For example:
- `NBClassifier.pkl` for crop prediction.
- `RandomForest.pkl` for fertilizer prediction.
6. **Convert the Model to Flask API**
- Load the saved models in a Flask API.
- Develop endpoints to serve predictions based on the input data.
7. **Request the Data in JSON Format**
- The Flask API receives requests with data in JSON format.
- These requests include input features necessary for making predictions.
8. **Get the Response in JSON**
- The API processes the input data, uses the loaded models to make predictions, and returns the results in JSON format.
---
### [Api Documentation](https://github.com/anshumanbehera27/Agro_API)
---
## Admin and User Interface in Bharat Agro (Using Firebase)
### Overview
- Bharat Agro app provides two interfaces: Admin and User.
- Admin interface for managing data with CRUD operations using Firebase.
- User interface for accessing and interacting with data stored in Firebase.
### Admin Interface
- **Add Data:** Add new crop details, fertilizer information, weather updates, and soil reports to Firebase.
- **Update Data:** Edit existing entries in Firebase for accuracy and relevance.
- **Delete Data:** Remove outdated or incorrect entries from Firebase.
- **Read Data:** View all stored data in Firebase for monitoring and management.
### User Interface
- **View Data:** Access information on farming from Firebase.
- **Search Functionality:** Search for specific crop details or other information stored in Firebase.
**RealTimeDatabase:**
---
### Integrating Gemini API
- Integrate API: Obtain the Gemini API key, configure the backend for API requests, and update the admin interface to manage API settings.
- Enhance User Interface: Add a text input field and submit button for users to ask questions, then process and display real-time responses from the API.
- Ensure Functionality: Implement error handling and input validation, and conduct thorough testing to confirm smooth operation and user satisfaction.
---
## 📷 App Features
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| App Image | Start Page | Login Page |
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|:---:|:---:|:---:|
| Sign Up Page | Home Page | Soil Report |
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|:---:|:---:|:---:|
| Crop Prediction | Fertilization Prediction | Weather |
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|:---:|:---:|:---:|
| Information Section | Information Details | Profile Section |
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|:---:|:----------------------------------------------------------------------------:|:-------------------------------------------------------------------------:|
| Chartbot | AdminHomePage | UploadData |