SatyamSoni23/DocyQA
Question Answering System for Android Devices. 4 approaches implemented in backend for QA System i.e., Naive Approach, Word Embedding Technique (Word2Vec, Glove), Simple transformer and Bert. For frontend, an Android app is used.
This system helps mobile application developers integrate a question-answering feature into their Android apps. It takes a document (like a PDF) and a user's question as input, then provides a relevant answer extracted from the document. Developers would use this to add smart information retrieval capabilities to their apps, allowing end-users to quickly find specific details within text.
No commits in the last 6 months.
Use this if you are an Android developer who wants to implement a question-answering system that can find answers within uploaded documents.
Not ideal if you need a fully polished, production-ready, off-the-shelf solution without any development effort, or if your application is not on Android.
Stars
9
Forks
1
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 03, 2024
Commits (30d)
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