How could I add my deep learning model to a web application?
Question:
I am planning to create a ml model the recognizes some stuff in real time video, it will be a deep learning model, What I would like to know is how could I apply that model into my web app and what should I use? I want to use the cam of the computer and the model to recognize some patterns.
I did not made anything yet but I am plannig the project. any ideas is appreciated. I know streamlit and gradio, but i would like to use node, any framework like react or django, flask etc. any idea is appreciated. thanks
Answers:
The answers will vary depending on the details of the project. For example if you want build basic project, you can use basic html, css and javascript for Frontend but if you need state management between the pages, you can use React.
You can use FastAPI or Flask for accessing model prediction and send to Frontend, you can search like this "Deploy Machine Learning Model using Flask" on the Internet. If you want to access webcam you can use VideoCapture in OpenCV.
Learn A JavaScript framework!
A JavaScript framework is a pre-written code library that provides a structured solution to a common problem. It helps developers to create dynamic and interactive web applications by providing pre-built code, tools, and utilities. Frameworks often follow a specific architecture and design pattern that promotes code organization, modularity, and reusability.
Some popular JavaScript frameworks include Angular, React.js, Vue.js, and many more. These frameworks provide a range of features such as component-based architecture, declarative programming, state management, and data binding, which can help developers to build complex applications more efficiently and effectively.
Using a JavaScript framework can help developers to save time and effort by abstracting away some of the underlying complexities of building web applications. However, learning a framework requires a certain level of expertise and knowledge of JavaScript, and it’s important to choose the right framework for the specific requirements of your project.
I am planning to create a ml model the recognizes some stuff in real time video, it will be a deep learning model, What I would like to know is how could I apply that model into my web app and what should I use? I want to use the cam of the computer and the model to recognize some patterns.
I did not made anything yet but I am plannig the project. any ideas is appreciated. I know streamlit and gradio, but i would like to use node, any framework like react or django, flask etc. any idea is appreciated. thanks
The answers will vary depending on the details of the project. For example if you want build basic project, you can use basic html, css and javascript for Frontend but if you need state management between the pages, you can use React.
You can use FastAPI or Flask for accessing model prediction and send to Frontend, you can search like this "Deploy Machine Learning Model using Flask" on the Internet. If you want to access webcam you can use VideoCapture in OpenCV.
Learn A JavaScript framework!
A JavaScript framework is a pre-written code library that provides a structured solution to a common problem. It helps developers to create dynamic and interactive web applications by providing pre-built code, tools, and utilities. Frameworks often follow a specific architecture and design pattern that promotes code organization, modularity, and reusability.
Some popular JavaScript frameworks include Angular, React.js, Vue.js, and many more. These frameworks provide a range of features such as component-based architecture, declarative programming, state management, and data binding, which can help developers to build complex applications more efficiently and effectively.
Using a JavaScript framework can help developers to save time and effort by abstracting away some of the underlying complexities of building web applications. However, learning a framework requires a certain level of expertise and knowledge of JavaScript, and it’s important to choose the right framework for the specific requirements of your project.