Checkmate

Last Updated on May 3, 2021

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  • A webapp which is used for auto evaluation of assignments for grading,checks plagiarism of different submitted assignments in the class.

  • It uses NLP techniques which comprises a bag of  words, tfidf and cosine similarity  between the submitted assignments 

  • Then output of the results is displayed based on the similarity score and the results are emailed to the teacher with the score.


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Heart Disease Classification Via Svm Kernels

Last Updated on May 3, 2021

About

The aim of the project is to develop a model where where we can predict the Heart Disease in the person.

This will help us to detect the disease whether the person is having the Heart Disease or not. This model will help many people all over the globe to know about the heart disease and it can save many lives.

In this project, a good dataset was necessary to implement and execute the problem statement. Then a good analysis was required to find out the correlations and various distributions among the features. Using various types of plots and charts to find out the number of people affected with this till now and generate a model where we can achieve a good score. So, the problem statement was so clear that we need to find whether the person has heart disease or not. SVM classifier helps us to distinguish and get the results. There are various types of SVM kernels in today's era, then we gave to thought to do on different SVM kernels rather than one-two kernels. In total we applied 14 different types of kernels. The highest accuracy on testing was 90.163% and the kernel was Generalized Hist Intersection SVM kernel. SVM classifier can be used to predict the heart disease and solve the required problems.

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Hyderabad House Price Predictor

Last Updated on May 3, 2021

About

Hyderabad House Price Predictor


ML model which predicts the price of a house based on features like total Sq. ft area,total number of bedrooms,balconies etc.

The front-end of this model is made by boot-strap and Flask,where as the backend is a Machine learning model which is trained on the housing-price dataset and the algorithm used is Random-Forest

the model is hosted at------> https://homepricepredictor.herokuapp.com/



General Overview of the Project 


Starting of with the home page which is designed using bootstrap classes,here we in this template the general overview of the project is mentioned,along with that the parameters which are required for predicting the price of the house are also mentioned here,here's a glimpse of it