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A Breast Cancer Diagnosis Method based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm

₹5,500.00

Aim:            To detect the breast cancer using K Nearest Neighbor algorithms with the help of data mining techniques.  Abstract:                Breast cancer is one of the most common cancers among the women. Breast c..

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

₹6,500.00

Aim:          We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.Abstract:       Distributed network attacks are referred to as Distributed Denial of Service (DDoS) attacks. These attacks take advantage of specific limitations t..

Agricultural Loan Recommender System – A Machine Learning Approach

₹5,500.00

Aim:          To determine the loan approval system using machine learning algorithms.Abstract:            Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a ma..

Application of IoT and Artificial Intelligence in Road Safety

₹12,500.00

Aim:               This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field of Road Safety and accident prevention with a state of the art review of various techniques adopted for implementing an intelligent road Safety System.Abstract..

Automated Smart Attendance System Using Face Recognition

₹5,500.00

Aim:                 To detect and recognize the face using real time attendance system based on LBPH algorithm. Abstract:            Face recognition can be considered one of the most successful biometric identification..

Automatic Question Tagging using k-Nearest Neighbors and Random Forest

₹5,000.00

Aim:          The main aim of this project is to give knowledge regarding Health and diseases of human by receiving user query.Synopsis:            Internet has demonstrated itself as a magnificent design over time. Today, billions of people have cont..

Blindfolded Evaluation of Random Forests with Multi-Key Homomorphic Encryption

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Aim:           Blindfolded Evaluation Decision tree and its generalization of random forests are a simple yet powerful machine learning model for many classification and regression problems.Abstract:       Decision tree and its generalization of random forests are a simp..

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach

₹6,500.00

Aim:           Massive adoption of mobile money in countries, the global transaction value of   mobile money exceeded $2 billion in 2021. Projections show transaction values will exceed $3 billion by the end of 2022, Spammers use Smishing (SMS Phishing) messages to trick a mobile money use..

Combining Numerical Weather Predictions and Satellite Data for PV Energy nowcasting

₹5,000.00

Domain: Machine Learning                                                       ..

Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms

₹5,500.00

Aim:          To determine the loan approval system using machine learning algorithms.Abstract:            Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a ma..

Comparison of Machine Learning Algorithms for Predicting Chronic Kidney Disease

₹5,500.00

Aim:          To apply machine learning techniques result in improving the accuracy in the prediction of Chronic Kidney Disease.Abstract:      Chronic kidney disease (CKD) is the serious medical condition where the kidneys are damaged and blood cannot be filtered. In the end-stag..

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

₹6,500.00

Aim:           People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card holders..

Crop Yield Prediction based on Indian Agriculture using Machine Learning

₹5,500.00

Aim:          To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract          India is the land of agriculture and it is the major source of economy.70% of Ind..

Crop Yield Prediction Using Random Forest Algorithm

₹5,500.00

Aim:               Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract              India is the land of agriculture and it is the major source of economy. 70% of..

Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features

₹5,500.00

Aim:             To detect and classify large-scale multi-class pest using Convolution Neural Network.   Synopsis:                Regarding the growth of crops, one of the important factors affecting crop yield is insect..

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