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

5. Install the required dependencies by running the following command:

   pip install -r <person>_requirements.txt  #example angelo_requirements.txt

6. Once the dependencies are installed, you can start the application by running the following command:

   uvicorn main:app --reload

7. The application will start running locally on your machine.
8. 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	Input	Output Expected
Pyqsorter	API	generate atleast 5 question paper , following format of PYQS	you can decide	atleast 5 paper insideLocal_Storage/Generated_Files/GenQP

Completed tasks

Harshed Abdulla

Task	Type	File Location	Input	Output

Heyron J Milton

Task	Type	File Location	Input	Output

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