Inspiration
Seeing the kind of stress and difficulties teachers/lecturers passes through setting questions and answers for students test/examinations, we felt we should find a way to solve this problem.
What it does
Based on a perticular context, it sets question and it's answer.
How I built it
We built a Machine Learning model(implementing NLP, RNN, NN, LSTM), backend using flask.
Challenges I ran into
We have to do this in a very short period of time, and it's a very robost model, during the cost of building the machine learning model we face a lot of challenges which exhausted most of our time.
Accomplishments that I'm proud of
At the end of it all, we finally got to solve the machine Learning model and get it running.
What I learned
We've got to learn some new things like yaml and others
What's next for Efiko
Finalizing the project and adding more futures to it.
Built With
- machine-learning
- natural-language-processing
- numpy
- python
- squad-dataset
- tensorflow
- yaml
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