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How to Run the Application

To run the Tutor AI application, follow these steps:

  1. Set up a virtual environment (recommended) and activate it.
   virtualenv <your_name>_venv 
   .\<your_name>_venv\Scripts\activate
  1. Install the required dependencies by running the following command:
   pip install -r <person>_requirements.txt  #example angelo_requirements.txt
  1. Once the dependencies are installed, you can start the application by running the following command:
   uvicorn main:app --reload
  1. The application will start running locally on your machine.
  2. Access the application by opening a web browser and navigating to http://localhost:8000.

API Calls ready

Pyqsorter (takes pyqs text files and syllabus text files from Local Storage and saves output to Generated_files as cluster_question.txt) : http://localhost:8000/api1

Notes_Analyser (takes txt from gpt_propt_sum and saves output to Notes_Analyser_Ouput) : http://localhost:8000/api4

Pending tasks

Task Type Discription Assigned to Assigned Date-Time Expected to complete in Input Output Expected
QuestionPaperGenerator API generate atleast 5 question paper , following format of PYQS Heyron 23/5/2023 12:00PM 6 hour you can decide atleast 5 paper insideLocal_Storage/Generated_Files/GenQP
NotesToText API it should convert all pdfs in notes_pdf and pyqs_text folder to text Sameer 23/5/2023 9:00AM 12hour Local_Storage\notes_txt,Local_Storage\pyqs_text Local_Storage\Generated_Files\Summarised_Notes
Uploading WEB we should be able to upload notes(module wise),pyqs,and syllabus into respective folder Harshed 23/5/2023 3:00PM 6 hour files from user Local_Storage\notes_pdf,Local_Storage\syllabus_pdf,Local_Storage\pyqs_pdf
Entering Details WEB after uploading ask how many modules,anything else he want to tell AI while preparing everything Harshed 23/5/2023 3:00PM 6 hour response from user as text Local_Storage\User_info as text file

Completed tasks

Harshed Abdulla

Task Type File Location Input Output

Heyron J Milton

Task Type File Location Input Output
NotesSummariser API Backend\summariser.py Local_Storage\notes_txt Local_Storage\Generated_Files\Summarised_Notes

Abdulla Sameer

Task Type File Location Input Output

Angelo Antu

Task Type File Location Input Output
Pyqsorter API Backend\pyqsorter.py Local_Storage/pyqs_text,Local_Storage/syllabus.txt Local_Storage/Generated_Files/cluster_questions.txt
Notes_Analyser API Backend\Notes_Analyser.py Local_Storage/Generated_Files/gpt_promt_sum/module2.txt Local_Storage/Generated_Files/Notes_Analyser_Ouput_files/topic_list.txt,Local_Storage/Generated_Files/Notes_Analyser_Ouput_files/imp_topic_list.txt,Local_Storage/Generated_Files/Notes_Analyser_Ouput_files/notes_questions_list.txt

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This repository is for participants of INTEL ONE API 2023 Hackathon

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