I have a project where I need to make a basic Q&A app in next.js with tensorflow.
Since I know nothing about machine learning, I think it’s better to seek an advice before starting.
I need to teach tensorflow to provide specific answers on specific questions.
What are the steps of doing that?
What are the topics that I should learn about tensorflow to be able to make something like that?
How would you start this basic project (what approach would you use)?
Collect and prepare a dataset of QA pair and choose a suitable pretrained model or train a custom model and integrate it into next js application and create a interface for user input and display the answer accordingly and in the end deploy the application .
Basics of neural networks and deep learning , NLP concepts , Tenssorflow .js for browser based machine learning transfer and fine tuning models text preprocessing and tokenization
Use Tensorflow .js to run the model in the browser start with a small , focused dataset for your specific domain implementation a simple next.js frontend for user interaction , graudually expanf functionality and improve model performance .
Additionally you can refer this documentation for more details Information .