Building a Detection App witth Tensorflow and React.JS

hello, my name is hamudi,

I am Building a Detection App with Tensorflow and React.JS that can differentiate four types of cereals, using a training model.

I already have the model for it ready

When I upload images of cereals, the model says, for example, it recognizes something in the image that is 73% corn.

I would like to create a page with React Js (Front End) where you can

then upload images of the four cereal varieties and the model evaluates these images there.

From the evaluations a graph should be created, which shows the four kinds of cereal (x-axis) and says for example how many corn kernels have been detected, how many ryes, etc.

For example, if something on the image is detected as 73% corn, then that counts as corn and a bar is displayed on the graph with the number of corn.

I have already done some work on this, but if you are interested, please let me know and I can give you more details.

We can also have a meeting and talk about it.

I'm having problems with this right now and would love it if you could help me.

I will also send a picture of how I imagine it in the front end, but it doesn't have to look like this.

I am currently using recharts for the illustrations

the project is very important to me, so I would choose the premium package,

I would set my budget for the beginning to 50 euros.

JavaScript React.js Tensorflow Google Firebase Datová věda

Identifikační číslo projektu: #31645254

O projektu