We got the idea of The Market by noticing that most of the online shopping platforms are not targeted to local and small scale producers, especially farmers. A lot of people have productions that are not of industrial level but very limited. We noticed a lot of these farmers trying to sell their product through stalls in local markets be it in California or Kathmandu, Delhi or Damascus. Though focused primarily on developing countries, this service could be of use to developed countries alike.
What it does
Using the geolocation API, it connects local buyers and sellers within their feasible location. It also detects the product and suggests the market value for the product.
How we built it
To train the model, we labeled a few hundreds of our fruits data by ourselves. We used image processing to train the model. We used google maps API to know the current location of the user and the distance matrix to calculate the distance between the buyer and the seller. Moreover, for the back-end, we used flask framework to create the database model.
Challenges we ran into
We had to label a few hundreds of data ourselves to train the model. Half of the teams are Physics and Maths majors, so we had a wide variety of coding level and experience among our teammates.
Accomplishments that we're proud of
Having physics majors in the team, we got to collaborated to see how strenuous these two fields are when mixed together. It has, of course, helped us to think beyond physics to see how things work in a tech world. We are really proud of how we pulled off the concept of the project into implementation.
What we learned
New framework (Flask), Python, Image Processing
What's next for
The Market It's coming into the market. It will not just be targeted to farmers, but every kind of local producers.