As network behaviors and patterns change, and intrusions evolve, it has very much become necessary to move away from static and one-time datasets toward more dynamically generated datasets which not only reflect the traffic compositions and intrusions of that time, but are also modifiable, extensible, and reproducible.So to do this, we are going to train an ML / deep learning model to identify anomaly from a given data set.

This project aims to train a modelthatclassifies an image and definesthe emotion of the person,which is in the picture. Here we performthree-step image processing, feature extraction,and feature classification.

AI Project Idea - Every day,we get dozens of email notifications,and most of them are spam.Build a tool which can classify the emails as spam or non-spam based on the content of the email alone.

Companies that involve a lot of transactions with the use of cards need to find anomalies in the system. The project aims to build a fraud detection model on credit cards. We will use the transaction and their labels as fraud or non-fraud to detect if new transactions made from the customer are fraud or not.

This Project comes up with the applications of NLP (Natural Language Processing) techniques for detecting the 'fake news,' that is, misleading news stories that come from thenon-reputable sources.

Companies that involve a lot of transactions with the use of cards need to find anomalies in the system. The project aims to build a fraud detection model on credit cards. We will use the transaction and their labels as fraud or non-fraud to detect if new transactions made from the customer are fraud or not.

Recommendation engines have become hugely popular in online shopping and streaming sites.
For instance, online content streaming platforms like Netflix and Hulu have a recommendation engines to customize their content according to individual customer preferences and browsing history.

The goal of this project to recommend the according to tho person attributes like locationhobby, age, qualification, interest, etc. Here in this project, we perform the cluster analysis.

In this Machine learning project, we will attempt to conduct sentiment analysis on 'tweets' using various machine learning algorithms. We attempt to classify the polarity of the tweet where it is either positive or negative.
Heart Disease Prediction

Chatbots are widely used in the industry level, where every company requires a chatbot to automate some of the customer interaction processes. AIML is an Artificial Intelligence
Markup Language that is used for building chatbots.

Goal of this project to train a model which work as Question answer bot related specific field.

=> Human beings take about a year to learn a language,but computers can learn in a day. In this project, we can build a language translator model that can translate from English to the other language.

The obsession of recognizing snacks and foods has been a fun theme for experimenting with the latest machine learning techniques. The highest goal will be a computer vision system that can do real-time common foods classification and localization, which an IoT devicecan be deployed at the AI edge for many food applications.

The main idea was then, to construct a neural network model able to classify, from the images captured by a camera, the representations of signs that the user did,in real-time. This 'user' could be a child learning at home the sign language or reinforcing what they have taught him or her at school, or it can be an adult interested in learning from scratch the sign language, for example, to begin with, the alphabet lettersor the numbers.

There are many inventories in automobile industries to design and build safety measuresfor automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances canbe detected by developing accurate prediction modelsthat will be capable of automaticseparation of various accidental scenarios. This cluster will be useful to prevent accidents anddevelop safety measures. We believe in acquiring maximum possibilities of accident reduction using low budget resources by using some scientificmeasures.

In the pandemic era of COVID 19,it is essential to maintain social distancing.The goal of this project to Creating the object tracking and detection system.Which monitor social distancing between a person.

Train Deep Neural Network described using race car track detail. Deploythis model on raspberry py,which control the RC car.The end goal is to enable RC carsto complete the racing track autonomously.

In schools and colleges, a lot of time is wasted in taking the attendance of the students. The idea of the project is to automate the attendance system by using a camera that automatically recognizes the faces and marks the attendance of the people.