sarthakpranesh / plantrecog Goto Github PK

I think this app lacks a bit of precision 😅
Is this normal? Is there any way to contribute to increase the accuracy?

Initial thoughts on all required APIs for v1, will update the below list if I feel some other endpoints are required

• route to get details (version, classes recognized) about the model using the version number
• predict route (already present but look for improvements)
• route to scrape google and retrieving images using plant class ( can scrape images of the predicted flower to display other images to the user )
• route to scrape Wikipedia for plant details using plant class
• refactor all routes

After #10 the documentation of the server API present in the readme needs to be updated.

Goals

• Longer training time
• Better accuracy

Devices that have a notch lead to a black header in place of the statusbar and the screen starts below the notch. This leads to buttons shifting below the bottom sheet, and getting covered partially.

Any pointers?

Document all the routes in v1 of the API

The server route "/images/:name" is supposed to provide similar but different flower images, but right now it just provides one image duplicated in the array.

Open to all suggestions.
Install the app -> Try it out -> Suggest improvements (down in comments) -> creat pull requests -> :>

Routes on the server can be shrunk/merged together for lowering the request count needed from app start to making the first prediction.

What
Move towards doing all processing, whether it be ML computations or scrapping the web, inside app itself.

Why
Managing your own server or using services like AWS is expensive and not very feasible for projects like this one.

Tasks

• Moving ML processing from server side API into App
• Scrapping web in app instead of using GyanApi

cant docker build on m1 mac, can you help?
Error: Sorry! Volta currently only provides pre-built binaries for x86_64 architectures.
Error: The Node.js native addon module (tfjs_binding.node) can not be found at path: /Users/matvejivanejcik/Documents/projects/PlantRecog/server/node_modules/@tensorflow/tfjs-node/lib/napi-v8/tfjs_binding.node.
Please run command 'npm rebuild @tensorflow/tfjs-node --build-addon-from-source' to rebuild the native addon module.

Todo:

• Move ML model prediction from external API to inside app itself
• Look for improved database for training the model
• Upgrade expo to latest version

Add more...