Farmer Assistant by NirtoHacker - 198

Inspiration

The inspiration for creating a farmer assistant likely comes from the desire to improve efficiency and productivity in the agricultural industry. With a farmer assistant, farmers can access information and resources more easily, make data-driven decisions, and automate certain tasks.

What it does

The project assist farmers by advicing them about which crop to sow, on the basis of various parameters such as Ph of soil and various climatic aspects in that perticular area.

How we built it

We firstly took the dataset that was available on google preprocessed the data and visualized it to check what parameters are most important and the applied a bunch of models on that data and found that randomforest give the most accurate results.

Challenges we ran into

We faced certain challenges like firstly we found it difficult to gather data for our project then after gathering data next difficult task was to connect our ml model to php framework.

Accomplishments that we're proud of

We were able to create a model with 97.27 percent in our ml model. We were to create a dyanamic webpage from scratch. We are also proud of the idea that we came up with

What we learned

We learned web development and user experience design, including how to create a user-friendly and accessible website that meets the needs of farmers and data analysis and visualization, including how to present data in a way that is easy to understand and actionable. We got know that how to best use AI and machine learning models like Decision Tree, Naïve Bayes, Logistic Regression and Random Forest to make predictions and provide insights.

What's next for Farmer Assistant by NirtoHacker - 198

In future we can add the total guide for crop devlopment that the Nitrohackers suggest. Also getting the proper and accurate information using the sensors at that perticular location rather than updating them manually.

Built With

• css
• html
• javascript
• php
• powerbi
• python