The Chatbot will try to solve or provide an answer to health-related issues or queries that the user is asking for. We are implementing NLP and ML to improve the efficiency of the chatbot.
- What was your motivation?
- bulid fast chatbot interactive with the users
- Why did you build this project?
- because of the importance of telemedicine
- What did you learn?
- we learnt how to bulid chatbots from scratch and create a full conversation model with rasa platform
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Rasa File that are configured in out project *we bulid a demo for a few diseases on rasa due to the limitation of our resourses
- config.yml
- nlu.yml
- domain_updated.yml
- credentials.yml
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Notebooks files
- nlu_generator (for generate intents of symptoms automatically)
- graduation_project (main notebook for bulid simple chatbot by using pytorch)
- pytorch
- Rasa (open source platform to bulid full Ai Chatbot conversation)
- prefer to install Pycharm or Visual Studio -word cloud
link for install rasa platfrom :https://rasa.com/docs/rasa/installation/
- Yomna Ali : (https://github.com/YomnaAhmed97)
- Ghidaa Samir: (https://github.com/ghaidaasamir)
- Asmaa Nabil : https://github.com/Asmaa98Nabil
- Aya Elsawy : (https://github.com/AyaElsawyElghaysh)
- https://www.youtube.com/watch?v=Ap62n_YAVZ8&list=PL75e0qA87dlEjGAc9j9v3a5h1mxI2Z9fi
- https://www.geeksforgeeks.org/chatbots-using-python-and-rasa/#:~:text=Rasa%20is%20a%20tool%20to,natural%20language%20understanding%20(NLU).
- bulid simple chatbot for detect symptoms for the user intents
- bulid machineLearning model to predict diseases from symptoms getting accuracy 84%
- use advanced paltform like rasa to built full conversation chatbot