FAQ Website using Django and Google App Engine
Required skills: Django, Google App Engine, Natural Language, Python, Website Design
I have a project which is almost done. I just need some enhancements to the project.
The project is about an FAQ website which takes user questions and gives processes it to give the answer. The application has a facility to upload a text file. The application processes the text uploaded and breaks it into text chunks using Text tagging and chunking algorithm. When the user enters a question, the keywords from the question are collected. Next the frequency of the keywords is calculated. The keyword frequency helps in determining if the question is in Question Answer table. If the question exists, the application generates the corresponding answer. If the application is not able to find the question in the table, it uses the text chunk table to find the most similar texts using most likelihood estimation algorithm and answer it. The application is deployed using Google App Engine which supports python programming language. As the application is written in python using Django web framework, it becomes easy to deploy the application using GAE.
I'm basically looking for a person who can make some enhancements to this application if possible even more robust. Please see the attachments for the screenshots. Interested people should show some of their work in python and Django. After seeing that we can decide about the enhancements.
The project is about an FAQ website which takes user questions and gives processes it to give the answer. The application has a facility to upload a text file. The application processes the text uploaded and breaks it into text chunks using Text tagging and chunking algorithm. When the user enters a question, the keywords from the question are collected. Next the frequency of the keywords is calculated. The keyword frequency helps in determining if the question is in Question Answer table. If the question exists, the application generates the corresponding answer. If the application is not able to find the question in the table, it uses the text chunk table to find the most similar texts using most likelihood estimation algorithm and answer it. The application is deployed using Google App Engine which supports python programming language. As the application is written in python using Django web framework, it becomes easy to deploy the application using GAE.
I'm basically looking for a person who can make some enhancements to this application if possible even more robust. Please see the attachments for the screenshots. Interested people should show some of their work in python and Django. After seeing that we can decide about the enhancements.
Posted In:DjangoGoogle App EnginePythonWebsite Design |
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