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Papers tagged with "Machine"
CAREERPATHAI : INTELLIGENT CAREER ROADMAP AND PROGRESS TRACKING SYSTEM
In The Current Competitive Job Market, Students And Professionals Face Significant Challenges In Planning And Tracking Their Career Development Effectively. The Absence Of Personalized Guidance And Real-time Progress Monitoring Often Leads...
Building A Real Time Phishing URL Detector
In Today’s Digital Era, Online Users Are Frequently Targeted By Deceptive Websites Designed To Steal Personal Credentials, Financial Data, And Sensitive Information. This Paper Presents Phishing Detector, An Intelligent Phishing Detection S...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
SMART HIRING ASSISTANT FOR RESUME AND PROFILE BUILDING-SHARP
The Smart Hiring Assistant For Resume And Profile Building (SHARP) Is An AI-powered Web Platform Developed To Enhance Employability By Providing Data-driven Resume Analysis And Personalized Recommendations. The System Employs Artificial Int...
The Role Of Image Recognition In Modern Archaeology
This Study Presents An Intelligent AI-based Image Recognition System Designed To Assist Archaeologists In The Identification And Classification Of Artifacts From Excavation Sites And Museum Archives. Traditional Archaeological Analysis Is T...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
SMART EXPENSE TRACKER WITH GOAL FORECASTING AND USER BEHAVIOR CLUSTERING USING AI
Managing Personal Finances Effectively Has Become A Necessity In Today’s Fast-paced Lifestyle. While Several Expense Tracking Applications Exist, Most Focus Only On Recording Income And Expenses, Offering Basic Summaries Without Deeper Anal...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
Solar-Powered Adjustable Boom Sprayers For Precision And Consistent Crop Coverage
The Main Purpose Of Manufacturing This Product Is To Enable Farmers And Gardeners To Form The Process Of Spraying Pesticides And Herbicides To Their Gardens To Become More Practical. It Helps The Gardeners Work Because They Must Not Carry T...
Design And Development Of An Automated Bottle Crushing Machine
The Increasing Consumption Of Bottled Products Has Led To A Significant Rise In Plastic And Glass Waste, Creating Major Challenges For Waste Management And Environmental Sustainability. Conventional Disposal Methods Are Inefficient, Space-c...
Leveraging Machine Learning Based Regression Analysis To Estimate Customer Churn
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
Development Of An Adaptive Machine Learning Framework For Real-Time Anomaly Detection In Cybersecurity
The Exponential Growth Of Digital Infrastructures And The Increasing Sophistication Of Cyber-attacks Necessitate The Development Of Intelligent, Adaptive, And Real-time Defense Mechanisms. Traditional Signature-based Intrusion Detection Sys...
A Review On Machine Learning And Deep Learning Models For Predicting Workload In Cloud Platforms
Cloud Computing Has Become The Backbone Of Modern IT Infrastructure, Enabling Elastic Resource Provisioning And Pay-as-you-go Models. As Enterprises Migrate More Workloads To The Cloud, The Challenge Of Predicting Workload Demand And Managi...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
DDOS ATTACKS RECOGNITION AND FORECASTING USING MACHINE LEARNING ALGORITHMS
Distributed Network Disruptions, Often Termed Distributed Denial Of Service (DDoS) Attacks, Exploit Vulnerabilities In System Infrastructures, Such As Web Servers Of Legitimate Organizations. Traditional Research Has Predominantly Utilized...