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Web Development

An informative website which comprehend the features and specification of various classes in Mercedes Benz and includes two AI models related to automobile where user can access the code and dataset in the document section and users can get to know about the detailed specification of various classes excluding G and SUV in Mercedes Benz in the configuration section.

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Document has detailed explaination of 2 AI model and users can download the dataset and code to deploy in their machine.Gallery section has various classes of Mercedes Benz made using grid system.Lastly in the showroom page,location of several showroom in india is displayed and their purchasing schemes,official websites,contact number is put on view.

CNN Model

AI model where it predicts traffic signs,coded in python using Convolutional neural networks and Computer vision,42 different traffic signs are pre-trained in which machine has its training part.Dataset is downloaded from kaggle.There are several traffic signs in which each of them is segregated into classes,and the input is converted into continous frame of images and predicted among one of those 42 classes.

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The reason behind developing this is bassically i have an interest in automobile so i ended making an AI model which is related to cars.The above button can redirect you to Github repository where you can access the code and dataset.

CNN Model

I have an curiosity in the field of Artificial Intelligence which makes me to develop another model,basically this one classifies whether a person wears a mask or not.This project was done during COVID pandemic so this was the motive behind it.As usual the dataset is retrieved from kaggle and the model has 2 classes in its training part,one class is that a person wears mask, other is with a person who doesn't wear mask.

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In essence,the model predicts whether the given input belongs to class 1 or 2(wears mask or dont wear mask). The above button will redirect you to access the code and dataset.

RNN Model

This is a fundamental concept(Regular Neural Network) of AI models,again the dataset is extracted from kaggle.So this model has 2 labels(the probability of a person where he/she can have heart attack and where he/she don't have).The dataset has the details of medical paramaters of a individual such as Blood pressure,Hemoglobin,Body temperature,Blood oxygen saturation in which it gets trained upon it and the model predicts as mentioned above.

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But still the accuracy of this model can be improved by altering the architecture. The above button will redirect you to access the dataset,code.

Machine Learning

This is machine learning model developed to predict the price of the house counting up several factors like city,facilities nearby such as school,hospital,shopping centers,availability of commercial facilities and ofcourse water table level.

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The dataset is accessed from kaggle,firstly 80% data is segregated into training and 20% as testing. The above button will redirect you to the github repository,where users can access tthe dataset and code.

Algorithm deployed : Linear Regression.

RNN Model

As like as the heart disease classifier,this model predicts the probability of having breast cancer for a individual women,counting up the medical parameter such as diagnosis,radius_mean,texture_mean concavity worst and symmentric worst.

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Here in this model Sequential neural network model with dense layer is deployed,and trained with an 1000 epochs providing with an accuracy of 97.5%.The above button will redirect you to the github repository where you can access the code aand dataset.

Machine Learning

The current scenario of developing organization demands skill set other than information technology,so taking this as a lead and after research from various sources,we came up with a decision of bringing up business intelligence.Sales forecast is one of the demanded predictive model where every enterprise seeks,and it also provides information that we can use to make intelligent business decisions.

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This is an integral project where we used different programming languages and frameworks that makes us to use various integrated development environment.The main motive of the project is to predict the future sales of a product.