Let me share with you where it all started. A few months back I went to my college to pick up my stuff. I came across a lot of traffic due to farmers' protests. I was completely moved by seeing their conditions and being a tech student thought can my tech help bring a change? After researching a bit we concluded that of course, we cannot change the govt laws but we can definitely: ensure farmers get MSP and use ai services break all geographical barriers for buying and selling privatization protecting interests of farmers
What it does
So basically Cropwayy is for farmers, retailers, corporates, and wholesalers wherein uses can:
create an account and fill in profile details view about us, contact us and visit crop gallery Use smart services like crop disease detection, fertilizer prediction and crop recommendation to enhance the crop yield Sell their crops to verified wholesalers and retailers without any middleman or geographical foundation by just posting a description of the crop.( No sales below MSP to protect farmers) Get hired on contract basis by different corporates.( No contract is made below MSP to protect farmers)
create an account and fill in profile details view about us, contact us and visit crop gallery Hire farmers from all over India on contract basis
create an account and fill in profile details view about us, contact us and visit crop gallery Can buy crops directly from farmers Can sell crops to retailers
create an account and fill in profile details view about us, contact us and visit crop gallery Can buy crops directly from farmers/ wholesalers
How we built it
Since we are quite comfortable in python and flask, we choose to build our project with the following tech stack:
Python 3 Flask HTML/ CSS MySQL Bootstrap Tensorflow Machine Learning PowerBI Heroku GoDaddy
Challenges we ran into
One of the biggest challenges we faced was finding a correct solution to help farmers, local wholesalers, contractors, and retailers while keeping in mind we do not violate any government guidelines and laws. At first, it was difficult to find verified datasets for building various deep learning and machine learning models. Timing constraint was a very big challenge as we had to complete this project in less than 36 hours.
Accomplishments that we're proud of
We are proud of our time management and teamwork that we completed an end-to-end project in less than 36 hours with sleepless nights. Our ML/DL model (Disease detection, fertilizer prediction,crop recomendation) accuracy is close to 99%. The interface of our web app is easy and multi-lingual, we believe that it is a one-stop solution for the agricultural supply chain industry. Hope you like this :)
What we learned
We learned teamwork and time management skills along with hosting the site on domain registrar services (GoDaddy/PorkBun).
What's next for Cropwayy
We plan to make an online farmstore where the farmers can buy farming tools directly from the supplier. Providing experts guide to the farmers for their professional issues. We plan out to reach the Atal Incubation center to get funding for our solution.