Volume 09, Issue 01, APR 2023 Special Issue

  • Wine Quality Prediction Using Machine Learning Dr.Gayatri Bachhav, Ms. Shradhha Patil, Ms. Namira Thange, Ms. Divya Bhagat

    Nowadays, people desire to live opulently. They have a propensity to show off and use things frequently. The usage of red wine has become widespread in modern societies. The industry uses product quality certification to sell its items as well. The use of techniques like Random Forest, Decision Tree Classifier and Logistic Regression is done using datasets that have been obtained from a source. Based on the outcomes of the training set

    Wine Quality Prediction Using Machine Learning

    Dr.Gayatri Bachhav, Ms. Shradhha Patil, Ms. Namira Thange, Ms. Divya Bhagat

    Wine Quality Prediction Using Machine Learning

  • Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry Prof. Umavane Kanchan, Mr. Vishal V.Shigwan, Mr. Pratik P.Gondhali, Miss. Gauri S. Kamble

    A novel approach to analyzing and forecasting client attrition has been put forth. The approach makes use of a data mining paradigm in the financial sector. This was motivated by the approximately 1.5 million consumers who churn each year, a number that is rising. Churn customer prediction is the process of determining whether a customer will stay with the business or not. Using a categorization strategy from data mining

    Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry

    Prof. Umavane Kanchan, Mr. Vishal V.Shigwan, Mr. Pratik P.Gondhali, Miss. Gauri S. Kamble

    Customer Churn Analysis and Prediction

  • A Video Streaming Vehicle Detection Algorithm Based On Yolov4 Prof. Vishal R. Shinde, Mr. Aditya J Shirsekar, Mr. Vihang R Waravdekar, Mr. Rushikesh T Mokal, Mr. Pratik P Lingayat

    Safe driving depends on being able to sense information about the environment around the car, and one of the most important technologies to solve this problem is computer vision. The Series YOLO and SSD, Retina Net method are two one-stage target identification algorithms that excel in both accuracy and speed. Vehicle detection is still some distance from real-time, but the newest algorithm in the YOLO series

    A Video Streaming Vehicle Detection Algorithm Based On Yolov4

    Prof. Vishal R. Shinde, Mr. Aditya J Shirsekar, Mr. Vihang R Waravdekar, Mr. Rushikesh T Mokal, Mr. Pratik P Lingayat

    A Video Streaming Vehicle Detection

  • LSTM based Malware Detection Framework for Android Devices Prof. Kanchan Umavane, Mr. Prathamesh Avhad, Mr. Rutik Tavanoji, Ms. Rupali Pardeshi

    Lately, the matter of dangerous malware in devices is spreading speedily, particularly the repackaged android malware. Though understanding Android malware detection via dynamic analysis will give a comprehensive read, and need to also relate between the app’s features and the features that are needed to deliver its category’s functionality. The most popular freely accessible smartphone operating system is Android, yet it lacks virus detection

    LSTM based Malware Detection Framework for Android Devices

    Prof. Kanchan Umavane, Mr. Prathamesh Avhad, Mr. Rutik Tavanoji, Ms. Rupali Pardeshi

    LSTM based Malware Detection Framework

  • An Examination System Automation Using NLP Prof. Satish Manje, Mr. Chaitanya Balkrishna Sawant, Mr. Anurag Deepak Karmakar, Mr. Arya Pramod Mhatre

    This world has witnessed a great deal of examination portals which are deployed across various servers and used to conduct online examination for a variety of purposes, some of which may include undertaking a quiz for entrance examinations, at the national and international level, whereas other portals are designed to conduct a test for placement purposes. However, what we have observed is that the majority of portals

    An Examination System Automation Using NLP

    Prof. Satish Manje, Mr. Chaitanya Balkrishna Sawant, Mr. Anurag Deepak Karmakar, Mr. Arya Pramod Mhatre

    An Examination System Automation Using NLP

  • Correlation Analysis of Financial Indicator and Stock Price Fluctuation using AI System Prof. Namrata Ganesh Daware, Ms. Snehal Santosh Korke, Ms. Diksha Bhagwan Partole, Ms. Deepali Vinayak Jagtap

    Using an artificial intelligence system, this paper correlate changes in stock prices with financial variables. There must be enough GAN artificial neurons in the intermediate layer of a GAN artificial neural network. Each GAN's artificial neuron, known as a direct memory artificial neuron, saves one training sample, with the number of training samples being determined to be equal to this number. For the most accurate short-term stock

    Correlation Analysis of Financial Indicator and Stock Price Fluctuation using AI System

    Prof. Namrata Ganesh Daware, Ms. Snehal Santosh Korke, Ms. Diksha Bhagwan Partole, Ms. Deepali Vinayak Jagtap

    Correlation Analysis of Financial Indicator

  • Image Recognition Using Artificial Intelligence Prof. Satish Manje, Miss. Sakshi Hemant Akarshe, Mr. Sahil Dere, Miss. Amrapali Ganesh Gawai

    This paper primary objective is to create a new technique for picture identification utilizing Python and its library tools, including NumPy, Bing image downloader, matplotlib and many more for the use of machine learning and its features, including support vector machines (SVM). Images can now be recognized using a method that makes advantage of the images' individual properties. This method is different from the chemist image

    Image Recognition Using Artificial Intelligence

    Prof. Satish Manje, Miss. Sakshi Hemant Akarshe, Mr. Sahil Dere, Miss. Amrapali Ganesh Gawai

    Image Recognition Using Artificial Intelligence

  • Prediction of Hepatitis Disease Using Machine Learning Algorithm Prof. Satish Manje, Mr. Ansari Md Talha, Mr. Gaikwad Milind, Mr. Pandey Aniruddh

    Hepatitis is currently one of the worst diseases that kill people all around the world. The human liver's inflammation is brought on by it. If people are successful in identifying this dangerous condition early on, can prevent many individuals from dying from it. This project review a variety of data mining methods is used to predict the hepatitis disease[1]. In addition, project offered a respectable method for enhancing the effectiveness

    Prediction of Hepatitis Disease Using Machine Learning Algorithm

    Prof. Satish Manje, Mr. Ansari Md Talha, Mr. Gaikwad Milind, Mr. Pandey Aniruddh

    Prediction of Hepatitis Disease

  • SMARTMIRROR USING RASPBERRY PI4 Prof. Vishal R. Shinde, Mr. Sagar Rajesh Ghate, Mr. Atharva Madhukar Hulavane, Miss. Deepika Dilip More

    The Internet changed our lives by making it easier for us to access information and other people in the online community. Then, mobile phones evolved into smart phones, and this idea blossomed and changed into the Internet of Things, which connects us to commonplace items. There are no end of objects that could be made “smarter”, some being more suited to this than others. Mirrors, for instance, offer a roomy surface perfect for information

    SMARTMIRROR USING RASPBERRY PI4

    Prof. Vishal R. Shinde, Mr. Sagar Rajesh Ghate, Mr. Atharva Madhukar Hulavane, Miss. Deepika Dilip More

    SMARTMIRROR USING RASPBERRY PI4

  • Sentiment Detection for Amazon Product Review Prof. Satish Manje, Mr. Tejas Vishe, Mr. Kunal Vishe, Mr. Rohan Patil

    In this paper, the evaluation of the sentiments in the present technological age over the reviews of online products is performed , online products are used by the majority of people. They provide their feedback and then products are recommended for purchase and sale on that factor too. The large e-commerce platforms such as Flipkart, Myntra, Amazon, and many others enable their users to review the Products. To buy a commodity, the consumer

    Sentiment Detection for Amazon Product Review

    Prof. Satish Manje, Mr. Tejas Vishe, Mr. Kunal Vishe, Mr. Rohan Patil

    Sentiment Detection for Amazon Product Review

  • Prediction Of Thyroid Disease In Early Stage Using Feature Selection And Classification Techniques Prof. Kanchan Umavane, Mr. Jay Motiram Gulvi, Mr. Pavan Vilas Khade, Ms. Samiksha V Gaikwad

    One of the most prevalent illnesses affecting women is thyroid disease. Thyroid illness frequently manifests as hypothyroidism. It is obvious that people with hypothyroidism are typically female. Because the majority of people are unaware of that illness, it is quickly developing into a serious illness. It is crucial to catch it early so that doctors can give patients better treatment and prevent it from becoming a severe problem

    Prediction Of Thyroid Disease In Early Stage Using Feature Selection And Classification Techniques

    Prof. Kanchan Umavane, Mr. Jay Motiram Gulvi, Mr. Pavan Vilas Khade, Ms. Samiksha V Gaikwad

    Prediction Of Thyroid Disease

  • Analysis of Performance of ML Algorithms in Detection of Flowers Prof. Satish J. Manje, Mr. Pawankumar Ravish, Mr. Sujit Yadav, Mr. Deep Marade, Ms. Apeksha Malgaonkar

    In many areas of agriculture and medical research, it is highly helpful to identify different kinds of flowers and leaves based on their properties. In this article, machine learning techniques are used to identify flowers based on their features. A data set of flowers is used to apply the machine learning algorithms K-nearest neighbor, Random Forest, and Decision Tree, and their precision is calculated. Python is used to implement

    Analysis of Performance of ML Algorithms in Detection of Flowers

    Prof. Satish J. Manje, Mr. Pawankumar Ravish, Mr. Sujit Yadav, Mr. Deep Marade, Ms. Apeksha Malgaonkar

    Analysis of Performance of ML Algorithms

  • Intelligent Crop Recommendation System Using Machine Learning Prof. Usha Nandwani, Mr. Amit Omprakash Kanoujiya, Mr. Kundan Dnyaneshwar Godse, Mr. Prathamesh Vijay Kawde

    Agriculture has a utmost part in the socioeconomic structure of India. In a country where about 58 percent of the populace works in agriculture, selecting the right crop for the soil using conventional and non-scientific approaches is a serious challenge. Farmers occasionally made the wrong crop choices based on the properties of the soil, the planting season, and the location. This results in tone- murder, quitting the husbandry field

    Intelligent Crop Recommendation System Using Machine Learning

    Prof. Usha Nandwani, Mr. Amit Omprakash Kanoujiya, Mr. Kundan Dnyaneshwar Godse, Mr. Prathamesh Vijay Kawde

    Intelligent Crop Recommendation System Using Machine Learning

  • AI Methods for Application in Oil Industry Prof.Usha Nandwani, Mr. Mandeep Singh Jaspal Singh Virdi, Mr. Prashant Vinod Tiwari, Ms. Pooja Yande

    The article gives a general examination of artificial intelligence methods including support vector machines and artificial neural networks, as well as the key areas in which they are applied to the oil and gas sector. In this study, the interpretation of geological data, price forecasting, and flow regime forecasting are the three main applications of such technologies that are examined. The employment of artificial intelligence

    AI Methods for Application in Oil Industry

    Prof.Usha Nandwani, Mr. Mandeep Singh Jaspal Singh Virdi, Mr. Prashant Vinod Tiwari, Ms. Pooja Yande

    AI Methods for Application in Oil Industry

  • Path Explorer Visualization with Analysis Prof. Kanchan Umavane, Mr. Dhanesh Sanjay Wadke, Mr.Atharv Mohan Sawant, Mr. Aniket Dilip Narangkar

    Visualization is a technique which is used to learn a particular concept in competent way than conventional way . Contemporary advancements in technology have simplified tasks like creating learning models were once considered challenging. Visual aids that demonstrate how algorithms work contribute significantly to enhancing computer science education. Learning about algorithms can be challenging due to its complexity, but visualization

    Path Explorer Visualization with Analysis

    Prof. Kanchan Umavane, Mr. Dhanesh Sanjay Wadke, Mr.Atharv Mohan Sawant, Mr. Aniket Dilip Narangkar

    Path Explorer Visualization with Analysis

  • Comparative Study to Identify the Heart Disease Using Machine Learning Algorithm Prof. Vishal Shinde, Mr. Kailash Poonaram Choudhary, Mr. Mayur Sanjay Adhalage, Mr. Bhavin Harish Patel

    Every year, this sickness affects many people, first in the USA and then in India. Heart disease, according to medical experts and academic studies is not an illness that appears out of nowhere rather, it develops over time as a result of an irregular lifestyle and a variety of physiological functions. when those symptoms start to show, people seek medical attention and undergo a variety of pricey tests and treatments

    Comparative Study to Identify the Heart Disease Using Machine Learning Algorithm

    Prof. Vishal Shinde, Mr. Kailash Poonaram Choudhary, Mr. Mayur Sanjay Adhalage, Mr. Bhavin Harish Patel

    Comparative Study to Identify the Heart

  • Prediction Probability of Getting an Admission into University Using ML Prof.Namrata Ganesh Daware, Ms. Neha Jaiswar, Ms. Pallavi Nikumbhe, Ms. Meghana Adhikari, Mr. Akram Ansari

    In present conditions, student having difficulties in finding a satisfied institution to pursue higher studies based on their profile. There are some advisory administrations and online applications that recommend universities but they charge consultancy fees in huge amount and online apps are not accurate. So, the main aim of this research is to develop an accurate model that can predict the percentage of chances of getting an admission

    Prediction Probability of Getting an Admission into University Using ML

    Prof.Namrata Ganesh Daware, Ms. Neha Jaiswar, Ms. Pallavi Nikumbhe, Ms. Meghana Adhikari, Mr. Akram Ansari

    Prediction Probability of Getting

  • Analysis of Risk Factors in The Firework Industries Prof. Vishal Shinde, Miss. Diksha Jagdish Raut, Miss. Priyanka Mahendra Binnar, Miss. Vallavi Bajirao Jadhav

    Big data, machine learning, and artificial intelligence are also becoming more significant in this era of data mining approaches as the country decided to increase intellectual capacity in its manufacturing operations. Fireworks industry accidents (FlAs), which are the leading cause of mortality, have long been one of the major global hazards and danger issues. Fireworks occurrences are influenced by a variety of factors, including chemicals

    Analysis of Risk Factors in The Firework Industries

    Prof. Vishal Shinde, Miss. Diksha Jagdish Raut, Miss. Priyanka Mahendra Binnar, Miss. Vallavi Bajirao Jadhav

    Analysis of Risk Factors in The Firework

  • ML Algo for Predicting Car Purchase Based on Customer Demand Prof. Namrata Ganesh Daware, Ms. Vedanti Sunil Shinde, Ms. Rashi Ravindra Vekhande, Mr. Sanjyot Uttam Amale

    One of the most important contributions to the nation's economy is the sedulity of machines. Motorcars are becoming more and more admired for their use in private transportation. When he wants to buy the right vehicle, especially a bus, the customers need to review it. because it is a car that is truly priceless. Before purchasing a new bus, there are numerous considerations, including price, spare corridor, cylinder volume

    ML Algo for Predicting Car Purchase Based on Customer Demand

    Prof. Namrata Ganesh Daware, Ms. Vedanti Sunil Shinde, Ms. Rashi Ravindra Vekhande, Mr. Sanjyot Uttam Amale

    ML Algo for Predicting Car Purchase

  • Real time-Employee Emotion Detection system (RTEED) using Machine Learning Prof. Vishal R. Shinde, Ms.Kartika R Sonawane, Mr. Ashwin D Bhawar, Mr. Hrithik D Walam

    Employee health and well-being are now the most important considerations in the workplace. Because it will have an impact on both an employee's productivity and the contribution of the team. In the end, automatic facial expression analysis using machine learning has developed over the past few decades into an intriguing and busy study subject. In order to automatically identify employee emotions in real time using machine learning

    Real time-Employee Emotion Detection system (RTEED) using Machine Learning

    Prof. Vishal R. Shinde, Ms.Kartika R Sonawane, Mr. Ashwin D Bhawar, Mr. Hrithik D Walam

    Real time-Employee Emotion Detection

  • Patent Protection for Artificial Intelligence in Europe Prof. Vishal R. Shinde, Mr. Chinmay Suhas Jadhav, Ms.Pradnya Nagesh Mani, Ms. Sakshi Ananta Nannavare

    Many Applications should concentrate on the technical issues the innovation is tackling or specify the specific technical advances in order to increase the likelihood that artificial intelligence-related inventions will be eligible for patents at the European Patent Office. One of the most important intellectual property offices in this area is the European Patent Office, whose policies and practises for determining whether ideas

    Patent Protection for Artificial Intelligence in Europe

    Prof. Vishal R. Shinde, Mr. Chinmay Suhas Jadhav, Ms.Pradnya Nagesh Mani, Ms. Sakshi Ananta Nannavare

    Patent Protection for Artificial Intelligence

  • Scalable Data Analytics Platform for ML in Smart Manufacturing Systems Prof. Vishal R. Shinde, Miss Anushka Hemant Borole, Miss Mrunali Mahesh Dhaske, Miss Shreya Charansingh Yadav, Mr. Onkar Vijay Bhoir

    It is challenging for the manufacturing industry to meet changing customer demands. As a result, products must be manufactured efficiently, with minimal interruptions, and with low resource consumption. To accomplish this, current technologies must manage and analyse the data produced by industrial equipment. RAMI model architecture uses ML and large data techniques. It is essential that Industrie 4.0 standards and regulations

    Scalable Data Analytics Platform for ML in Smart Manufacturing Systems

    Prof. Vishal R. Shinde, Miss Anushka Hemant Borole, Miss Mrunali Mahesh Dhaske, Miss Shreya Charansingh Yadav, Mr. Onkar Vijay Bhoir

    Scalable Data Analytics Platform for ML

  • Machine Learning for Black Friday Sales Prediction Framework Prof. Usha Nandwani, Mr. Aniket S. Joshi, Mr. Hemant N. Gode, Mr.Prafulla G. Patil

    understanding the purchasing patterns of various consumers (Dependent variable) In relation to various product utilize their demographic data (IS characteristics the majority of which our self explanatory. This data set is made up of redundant, unstructured, and all values. The retail industry’s domain most frequently uses machine learning. As it will assist which their inventory management, Financial planning, promotion

    Machine Learning for Black Friday Sales Prediction Framework

    Prof. Usha Nandwani, Mr. Aniket S. Joshi, Mr. Hemant N. Gode, Mr.Prafulla G. Patil

    Machine Learning for Black Friday Sales

  • ML Based Presaging Technique for Efficient Rooted Cloud Service Provider Dr.Gayatri Bachhav, Mr Prasad Pandurang Joshi, Mr Sanjyot Sanjit Dharankar, Miss Vidhita Arun Sabale

    Cloud computing has evolved into an indispensable tool for managing the increasing number of users and the data they create. The growing data rate places pressure on cloud service providers to satisfy customer needs, resulting in the emergence of various service providers. Nonetheless, selecting the best service remains difficult. Researchers have devised a pattern-based service negotiation mechanism to overcome this issue. This technique

    ML Based Presaging Technique for Efficient Rooted Cloud Service Provider

    Dr.Gayatri Bachhav, Mr Prasad Pandurang Joshi, Mr Sanjyot Sanjit Dharankar, Miss Vidhita Arun Sabale

    ML Based Presaging Technique for Efficient

  • Olympics Data Analysis Web Application and Prediction Using Machine Learning Prof.Satish J.Manje, Ms.Shruti Rakesh Dubey, Ms.Sejal Sunil Parche, Ms.Disha Laxman Bondre

    The Olympics is a major international sporting events which has two aspects of competition namely summer and winter in which thousands of competitors from all over the globe compete in a variety of events. Olympics are more than just a four-stroke multi-sport world championship. It is a lens which gives us an understanding of global history, including shifting geopolitical power dynamics, women's empowerment, and the evolution

    Olympics Data Analysis Web Application and Prediction Using Machine Learning

    Prof.Satish J.Manje, Ms.Shruti Rakesh Dubey, Ms.Sejal Sunil Parche, Ms.Disha Laxman Bondre

    Olympics Data Analysis Web Application

  • IOT Based Advanced Solar Power Monitoring System Dr. Madhuri P. Rodge, Yashaswi B. Mokashi, Rakesh S. More, Akshay C. Nimse

    The idea behind the Internet of Things is to bring commonplace objects into a world where the internet is present. A pure integration of the physical world into computer-based systems is made possible by the Internet of Things (IoT), which also reduces the need for human intervention while improving efficiency, accuracy, and economic gain. Many uses for this technology exist, including solar cities, smart villages, microgrids

    IOT Based Advanced Solar Power Monitoring System

    Dr. Madhuri P. Rodge, Yashaswi B. Mokashi, Rakesh S. More, Akshay C. Nimse

    IOT Based Advanced Solar Power Monitoring