Inspiration
Machine learning itself is very inspiring. Looking at what others achieve with this is rely amazing.
What it does
We have created a model using naive bayes classifier
How we built it
We have download bunch of pdf. Then converted it into text using python script. We used these text files to train out classifier and got the model as output.
Challenges we ran into
Choosing which classifier to use for this problem that it self is a big problem. we were looking mainly in to decision tree and naive bayes. We finally decided to use naive bayes.
Accomplishments that we're proud of
We were able to collaborate as a team. Learn New technologies. Able to build a model.
What we learned
We have learnt how to create a model using the classifier. How to use google colab.
What's next for Intelligent Document Classification
The next steps will to gather as many documents as possible and create a huge data set and train the model, So that the accuracy can be improved.
Built With
- python
- sklearn
Log in or sign up for Devpost to join the conversation.