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Multimodal Emotion Recognition Using Visual-Text Fusion With ResNet-50 And SVM On The MELD Dataset
This Paper Presents A Multimodal Emotion Recognition Framework That Integrates Visual And Textual Modalities To Improve The Accuracy And Robustness Of Emotion Classification Systems. The Visual Modality Is Processed Using A Pre-trained ResN...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
AI-BASED CRIME REPORTING AND PATTERN ANALYSIS SYSTEM
In The Modern Era Of Digital Law Enforcement, Efficient Crime Reporting And Pattern Analysis Play A Vital Role In Public Safety And Resource Optimization. However, Traditional Crime Reporting Systems Suffer From Manual Processing Delays, In...
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...
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...
A STUDY ON CONSUMER BUYING BEHAVIOUR TOWARDS ONLINE GROCERY APPS (BLINKIT AND BIGBASKET) IN COIBATORE
This Study Explores The Grocery Shopping Behaviour And Preferences Of Consumers, Focusing On Factors Such As Frequency Of Shopping, Satisfaction With Product Quality, And Trust In Online Grocery Apps. The Findings Reveal That A Majority Of...
HUMAN IDENTIFICATION USING DENTAL BIOMETRICS- A REVIEW
Human Identification Is A Vital Component Of Forensic Science, Crime Scenes, And In Addition To Mass Disaster Victim Identification. There Exists Plenty Of Conventional Biometrics Such As Fingerprint, Face Recognition, Etc.; However, Dental...
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...
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...
AI-Powered Web-Based Tourist Planning Application Enhancing Personalized Travel Experiences Through Intelligent Recommendations
Tourism Has Evolved Significantly With The Integration Of Artificial Intelligence (AI),enabling Smarter And More Efficient Travel Planning. This Research Presents An AI-powered Web-based Tourist Planning Application Designed To Enhance Per...
A Review On Natural Language Processing Techniques For Sentiment Analysis Of Potentially Radical And Hateful Content On Social Media
Natural Language Processing Has A Large Number Of Applications Especially For Semantic Web. This Study Provides A Comprehensive Assessment Of Contemporary Machine Learning And Deep Learning Algorithms For Hate Speech Identification. Example...
Touchless Virtual Mouse Control Using Hand Gestures
Human-computer Interaction (HCI) Is Evolving Rapidly From Traditional Input Devices To Natural, Intuitive Interfaces. This Paper Introduces A Touchless Virtual Mouse System Using Python And Computer Vision, Eliminating The Need For Physical...
MARINE SPECIES RECOGNITION USING IMAGE ANALYSIS
The Identification And Classification Of Marine Species Play A Vital Role In Ecological Studies, Biodiversity Protection, And Sustainable Fisheries Management. Traditional Approaches That Rely On Manual Observation Are Not Only Time-intensi...
CAR PRICE PREDICTOR: UNLOCKING INSIGHTS FOR USED CAR BUYERS AND SELLER
The Automotive Industry Is Witnessing A Paradigm Shift With The Increasing Demand For Used Cars. As Consumers Explore Cost-effective And Sustainable Transportation Options, The Valuation Of Used Cars Becomes A Critical Aspect Of The Buying...