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BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
AI-Driven Price Prediction System For Direct Farmer-to- Market Consumer Agricultural Market
Farmers Who Sell Directly To Consumers Through Digital Platforms Often Have No Idea What Price To Charge For Their Produce. They Rely On Heuristic Judgment And Informal Market Signals, Or Whatever Their Neighbor Charged Last Week. This Leav...
SMART USED VEHICLE PRICE PREDICTION AND MARKET SYSTEM
The Used Vehicle Market Has Experi- Enced Significant Growth In Recent Years, Making It Challenging For Buyers And Sellers To Determine Accurate Vehicle Prices. Traditional Pricing Meth- Ods Often Rely On Personal Judgment, Which May Lead T...
A HYBRID STOCK PRICE FORECASTING SYSTEM USING ARIMA, LSTM, AND SENTIMENT ANALYSIS
The Accurate Forecasting Of Stock Prices Remains One Of The Most Persistent And Challenging Problems In Quantitative Finance, Owing To The Inherently Noisy, Nonstationary, And Nonlinear Nature Of Financial Time Series. Traditional Foreca...
Live Cryptocurrency Market Dashboard With Machine Learning-Based Price Prediction And RSI Signal Generator
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualizat...
Determinants Of The Attitude–Behavior Gap In Sustainable Consumption An Empirical Analysis Of Youth Consumers
Sustainable Consumption Has Gained Significant Importance In Recent Years, Particularly Among Youth Who Are Increasingly Aware Of Environmental Issues. However, A Noticeable Gap Exists Between Positive Attitudes Toward Sustainability And Ac...
A Study On Algorithm-Based Pricing In Digital Platforms
Algorithm-based Pricing Is Increasingly Used By Digital Platforms To Set Prices Dynamically Based On Data, Demand, And User Behavior. This Study Examines How Such Pricing Mechanisms Operate And Their Impact On Consumers, Market Competition,...
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...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...
A STUDY ON PRICE FLUCTUATIONS OF RAW MATERIAL COST AND ITS IMPACT ON PROFITABILITY AT MANSIO ALUMINIUM KITCHEN PRIVATE LIMITED
This Study Analyzes How Fluctuations In Aluminium Raw Material Costs Affect The Profitability Of Mansio Aluminium Kitchen Pvt. Ltd., Puducherry, Using Secondary Data From 2020–21 To 2024–25. Tools Such As Trend Analysis, Ratio Analysis, And...
COMPARATIVE ANALYSIS OF SHARE PRICE MOVEMENTS OF PUBLIC AND PRIVATE SECTOR BANKS IN INDIA
This Study Focuses On The Comparative Analysis Of Share Price Movements Between Selected Public And Private Sector Banks In India During The Period From January 1, 2025, To June 30, 2025. The Research Examines The Market Behavior And Risk P...
A STUDY ON RAW MATERIAL PRICE FLUCTUATIONS AND ITS IMPACT ON PROFITABILITY WITH SPECIAL REFERENCE TO AUCKLANE LIFE SCIENCES PRIVATE LIMITED
This Study Analyzes The Impact Of Raw Material Price Fluctuations On The Profitability Of Tablet Manufacturing Units, With Specific Reference To Aucklane Life Sciences Pvt. Ltd., Puducherry. In The Pharmaceutical Industry, Raw Materials Suc...
E-COMMERCE PRICE COMPARISON SYSTEM
In The Fast-paced Electronics Manufacturing Industry, En This Project Presents An E-Commerce Price Comparison System Designed To Help Users Identify The Best Prices For Products Across Multiple Online Shopping Platforms. The System Collects...
A STUDY ON THE CONSUMER BUYING BEHAVIOUR OF SMSRTPHONES
This Research Looks At How Consumers Purchase Smartphones, Examining The Factors That Influence These Purchases. The Smartphone Market Is Highly Dynamic, And Manufacturers Need To Understand What Consumers Want In Order To Remain Competitiv...
AI-Powered Product Authenticity Checker, Fake Product Detector & Price Comparator
The Increasing Cases Of Counterfeit Products, Fake Sellers, And Misleading Pricing On E-commerce Platforms Have Made Online Shopping Risky For Consumers. This Paper Presents An AI-based System That Detects Fake Products, Verifies Authentici...