Name: AI Study Timetable Generator Project in Python Django
Brand: UpdateGadh
SKU: UG-111
Price: 1599.00 INR
Availability: InStock

AI Study Timetable Generator Project in Python Django

AI Study Timetable Generator is a Django-based web application that helps students create personalized study plans directly from their syllabus documents. The system allows a student to upload a university syllabus PDF and automatically converts its contents into a structured study plan covering subjects, units, topics, study sessions, and revision activities.

The project combines PDF processing, Natural Language Processing, machine learning based difficulty scoring, custom scheduling logic, and spaced repetition. Students can review extracted topics, correct the syllabus structure when required, enter their exam date and available study hours, and generate a complete day-wise timetable.

Key Features

Student registration and login
Student course, semester, and university profile
Syllabus PDF upload
Drag-and-drop syllabus upload
Automatic subject, unit, and topic extraction
Editable topic tree for manual corrections
Exam date configuration
Weekday and weekend study-hour configuration
One-click timetable generation
Spaced repetition revision sessions
Daily study task dashboard
Mark topics as completed
Postpone study tasks
Mark difficult topics
Study streak tracking
Progress analytics
Subject-wise completion tracking
Weekly study-hour tracking
PDF timetable export
CSV timetable export
Adaptive timetable rescheduling
Subject weightage balancing
Daily workload and burnout control
Django Admin dashboard
Parsing log viewer
Usage reports

Technology Stack

Technology	Purpose
Python 3	Application and scheduling logic
Django	Web framework, authentication, routing, and ORM
MySQL	Database management
pdfplumber	Syllabus PDF text and layout extraction
scikit-learn	TF-IDF based difficulty scoring
NLTK	Topic text processing
Bootstrap 5	Responsive interface
Chart.js	Progress and coverage visualizations
ReportLab	PDF timetable generation
Python CSV	CSV timetable export
Gunicorn	Production deployment readiness

Project Workflow

Student registers and completes the profile.
Student uploads the university syllabus PDF.
The parser extracts subjects, units, and topics.
The student reviews and corrects the extracted topic structure.
The difficulty engine assigns effort scores to topics.
The student enters the examination date and available study hours.
The scheduler distributes the topics across the available days.
The spaced repetition engine adds revision sessions.
The generated timetable is displayed through a calendar and daily task view.
Completed or postponed tasks update the remaining schedule.
Progress analytics are updated as the student continues studying.
The timetable can be exported as PDF or CSV.

Software Requirements

Python 3.10 or above
MySQL Server 8.0 or above
pip package manager
Visual Studio Code or PyCharm

More Details and Full Documentation

For complete project information, source documentation, setup instructions, screenshots, and additional technical details, visit the original UpdateGadh project page.

View Complete AI Study Timetable Generator Documentation

Project Modules

1. Student Registration and Login Module
2. Student Profile Module
3. Syllabus PDF Upload Module
4. PDF Parsing Module
5. Subject Extraction Module
6. Unit and Topic Extraction Module
7. Manual Topic Correction Module
8. Exam Date and Availability Module
9. Difficulty Scoring Module
10. AI Timetable Generation Module
11. Subject Weightage Module
12. Spaced Repetition Module
13. Adaptive Rescheduling Module
14. Daily Task Module
15. Study Streak Module
16. Progress Analytics Module
17. PDF Export Module
18. CSV Export Module
19. Django Admin Module
20. Parsing Log Module
21. Usage Reports Module

Installation Guide

1. Install Python 3.10 or above.
2. Install MySQL Server 8.0 or above.
3. Install pip package manager.
4. Install Visual Studio Code or PyCharm.
5. Extract the AI Study Timetable Generator project.
6. Open a terminal inside the extracted project directory.
7. Open the project folder in your code editor.
8. Create a virtual environment using: python -m venv venv
9. Activate the virtual environment on Windows using: venv\Scripts\activate
10. For Linux or macOS, activate it using: source venv/bin/activate
11. Install project dependencies using: pip install -r requirements.txt
12. Open MySQL or phpMyAdmin.
13. Create the project database using: CREATE DATABASE study_planner_db CHARACTER SET utf8mb4;
14. Open studyplanner/settings.py.
15. Configure the MySQL database name as study_planner_db.
16. Configure the MySQL username and password.
17. Set the database host to 127.0.0.1.
18. Set the database port to 3306.
19. Run: python manage.py makemigrations
20. Run: python manage.py migrate
21. Create the Django administrator account using: python manage.py createsuperuser
22. Start the Django server using: python manage.py runserver
23. Open http://127.0.0.1:8000/ for the student portal.
24. Open http://127.0.0.1:8000/admin/ for the Django Admin dashboard.

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AI Study Timetable Generator Project in Python Django

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