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Automated Answer Grading System machine learning project

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An Automated Answer Grading System is a machine learning-based Django project that allows teachers to automatically grade student answers in a fast and efficient manner. The system will use natural language processing techniques to analyze and compare the student's answer to the correct answer and assign a grade based on how closely the two match.

The project will consist of a web-based interface that teachers can use to upload student answers and view the results. Teachers will also have the ability to view detailed reports on student performance, including overall scores and breakdowns of individual question scores.

The system will be trained using a dataset of correct and incorrect answers, which will be used to develop the machine learning model that will be used to grade the student's answers. The model will use various natural language processing techniques such as text similarity, sentiment analysis, and topic modeling to compare the student's answer to the correct answer.

The project will be built using the Django web framework and will be hosted on a cloud platform such as AWS or Google Cloud. The frontend of the system will be designed using HTML, CSS, and JavaScript and will provide an easy-to-use and intuitive interface for teachers to interact with.

Overall, the Automated Answer Grading System will be a powerful tool for teachers that will allow them to grade student answers quickly and accurately, freeing up more time for other important teaching tasks.


The dataset used is the Kaggle’s Automatic Essay Scoring dataset,can be downloaded from


The models were tested using kappa statistic which is intending to compare labelling by different human annotators, not a classifier versus a ground truth. The kappa score is a number between -1 and 1. Scores above .8 are generally considered good agreement,zero or lower means no agreement For this project we have used an Algorithm in which we Combine all the topics into a single model and predicted the score using bi-directional LSTM. kappa score obtained is 0.74

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Simple Web-Based Chat Application using php, mysql, javascript, ajax

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100 + PHP Projects with Source Code 

The chat application we will be building today will be quite simple. It not required login, AJAX-style features, and will also offer support for multiple users.


  • I like to use Wamp server, so I suggest installing Wamp server . Once that is installed, execute the following instructions.
  • Run wamp server ❗.
  • Make sure you have placed this entire application inside 📂 c://wamp/www/chat_application.
  • Left click on the wamp icon in system tray It will display list of options Select “start all services”.
  • Then open your preffered browser and type localhost in address bar Hit enter ❗ It will show the default page of wamp server.

Now include this index.php (my php file name) at the end of the url.

Setting Up The Database (.SQL File is present in dbase Folder)

Method 1 ✏️ Using Mysql Console !

I like to use mysql, so I suggest installing mysql. Once that is installed, execute the following commands don't worry it is inbuilt in Wamp server !.

  • If you are using wamp you can try this. Just type use your_Database_name first.
  • Click your wamp server icon then look for MYSQL > MSQL Console then run it.
  • If you dont have password, just hit enter and type :
  • mysql> use database_name;
  • mysql> source location_of_your_file;
  • If you have password, you will promt to enter a password. Enter you password first then type:
  • mysql> use database_name;
  • mysql> source location_of_your_file;

Method 2 ✏️

  • Left click on the wamp icon in system tray and run PHPMyAdmin (Access your database via PHPMyAdmin).
  • Go to the Import files tab
  • Click Browse, locate the SQL file on your computer (it is present in sql database folder), click Open, and then click Go.

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