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Papers tagged with "Earning"
AI-BASED ENERGY MANAGEMENT SYSTEM
The Rapid Growth Of Energy Demand, Increasing Electricity Costs, And The Need For Sustainable Power Utilization Present Significant Challenges To Traditional Energy Management Practices. This Paper Presents An AI-Based Smart Energy Manageme...
An AI-Based Intelligent Fashion System For Virtual Try-On And Explainable Personalized Recommendation
In This Paper, We Introduce A New Virtual Try-On System With The Addition Of An Explainable Suitability Analysis Framework. Our Virtual Try-On System Allows Users To Virtually Try On Clothes With Images Using A Seven-stage Pipeline. Our App...
Fruits Freshness Detection Quality And Nutritional Analysis Using Machine Learning
In The Context Of The Food Processing Industry In The Present Day, It Is Evident That The Freshness And Quality Of Fruits Play A Major Role In Maintaining The Health And Wellness Of Consumers, Reducing Food Product Waste, And Maximizing The...
Multimodal Video Summarization For Crime Scene Analysis Using YOLO Based Object Detection
The Rapid Growth Of Surveillance Cameras In Public Places Has Led To The Generation Of Large Volumes Of Video Data, Making Manual Monitoring Difficult And Inefficient. Detecting Violent Activities Such As Fights, Weapon Usage, And Suspiciou...
IOT INTEGRATED ML SYSTEM FOR FERTILIZER DOSAGE PREDICTION
Agriculture Plays A Huge Role In The Economies Of Developing Nations Like India, Where It Keeps More Than Half The Workforce Employed. Yet, Despite Its Importance, Farmers Still Struggle With How They Use Chemical Fertilizers. Too Much Fert...
ONLINE BANKING FRAUD DETECTION USING MACHINE LEARNING TECHNIQUES
The Rapid Growth Of Online Banking Has Significantly Increased Fraudulent Activities Such As Unauthorized Transactions, Phishing Attacks, Identity Theft, And Account Takeovers. Traditional Rule-based Systems Fail To Detect Evolving Fraud Pa...
Anomaly Detection In Blockchain Networks In UPI Transactions
Blockchain Technology Has Revolutionized Distributed Systems Through Its Decentralized, Immutable, And Transparent Architecture. However, The Increasing Adoption Of Blockchain Networks Has Attracted Malicious Actors Exploiting Vulnerabiliti...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
AI-Enhanced Pharmacy Medi-Track App For Healthcare And Smart Medicine Management
The Rapid Advancement Of Digital Health Technologies Has Created New Opportunities To Transform Traditional Pharmacy And Patient Medication Management Systems Into Intelligent, Interconnected Platforms. The AI-Enhanced Pharmacy Medi-Track S...
Yoga AI-A Smart System For Posture Correction And Asana Guidance
Yoga Has Emerged As A Vital Practice For Enhancing Physical Fitness, Mental Well-being, And Overall Health. However, Practicing Yoga Without Proper Guidance Can Lead To Incorrect Postures, Reducing Effectiveness And Increasing Injury Risk....
SURVEY ON PHISNET AI - PROACTIVE DEFENSE AGAINST MALICIOUS URL’s
This Project Presents PhishNet AI, A Proactive And Intelligent Mobile-based Security Framework Designed To Detect And Prevent Phishing Attacks Caused By Malicious URLs. With The Rapid Increase In Digital Communication Through SMS, Emails, A...
Dynamic Modeling Of Parkinsonian Gait Using Latent Biomarkers
Parkinson's Disease (PD) Affects Gait Dynamics, And Hence, Objective Analysis Is Required For Accurate Diagnosis. In This Regard, This Manuscript Proposes A Deep Learning Framework For Modeling Parkinsonian Gait Using Vertical Ground Reacti...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
FakeFinder: Context-Aware News Credibility Detection Using NLP And Machine Learning
With The Rapid Growth Of Digital Media And Social Networking Platforms, The Spread Of Misinformation And Fake News Has Become One Of The Most Pressing Challenges Of The Modern Era. Platforms Such As WhatsApp, Facebook, And Twitter Deliver B...
Deep Learning Approach For Detecting Fake Job Posting In Online Recruitment Platform
The Rapid Growth Of Online Job Portals Has Changedhow People Find Work, Making The Process Much Easier. However, This Easy Access Has Also Led To A Massive Increase In Fake Job Postings And Employment Scams. Scammers Use These Platforms To...