Comprehensive Data Processing with Flask and MongoDB
Project Overview
- Objective: This project aims to provide robust data processing capabilities through a web server built with Flask, supporting both numeric and textual data processing. It integrates with MongoDB and includes functionalities for natural language processing (NLP), data transformation, outlier detection and also some analytics.
Key Features
- Web Server: Built using Flask for handling HTTP requests and serving content.
- Database Integration: Utilizes pymongo for seamless interaction with MongoDB.
- Natural Language Processing (NLP): Incorporates NLTK, TextBlob, Gensim, and other libraries for advanced text analysis.
- Data Transformation: Supports conversion, parsing, and outlier detection.
- User Authentication: Implements bcrypt and JWT for secure user authentication.
- Cross-Origin Resource Sharing (CORS): Ensures the server can handle requests from different origins.
Example of the API in use
GitHub Repo
https://github.com/4bdex/DataCleaner_back
