SDUdent telegram bot

This is self learning project aimed to make life of students of my university easier. Bot solves problems that I met during my student life. It has 2 main functionalities:

1. Notify about new grades

   Problem:After passing midterm exams students everytime enters to portal to check, if there is new grade or not

   Solution: Get student's authorization data(student number & password) , parse his/her grades data from portal, save it in database, continuously parse it and check for difference with grades in database,if there is a difference,tell him/her, update grades in database each time .

   Pseudocode:

   while True:
      for user in database.users:
          new_grades = get_grades_from_portal(user['username'],user['password'])
          old_grades = user['semester_data']
          difference = old_grades - new_grades
          if difference:
              notify_user(chat_id = user['chat']
              update_grade_in_database()
   

2. Find sdudent by photo

   Problem: You liked/need someone but don't know his/her name and program,but have a photo?

   Solution: Use pretrained deep-learning model to get feature vector of user photo. User photo can be found in portal .

   This is how our portal looks like,from this page get user's photo,full name,program . Pass user's photo through pretrained model and get feature vector , data(feature_vector,full_name,program) in database.

   

   When another user calls /find_user command and send photo, get feature vector of sent photo and compare with all other user's photo's feature vector by cosine similarity

   

   Pseudocode:

   photo = user.message.photo.get_file()
   current_feature_vector = pretrained_model(photo)
   #shape = [1,512]
   max_sim = 0
   for user in database.users:
        similarity = cos_sim(current_feature_vector,user['feature']
    if max_sum < similarity:
        max_sim = similarity
   
    send message about user with highest similarity
   

Built With

• Python-telegram-bot
• MongoDB ,Pymongo
• Pytorch

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Acknowledgements

• Face recognition library
• PythonTelegramBot

Help, feedback or suggestions?

Feel free to contact me on Telegram for discussions, news & announcements about bot & other projects.