Ai-based Invesment Generator Using Logistic Regression

Abstract

Many Individuals, Especially Beginners, Find It Challenging To Make The Right Investment Decisions Due To The Overwhelming Number Of Options Such As Stocks, Mutual Funds, And Fixed Deposits, Combined With Limited Financial Knowledge. To Address This Issue, This Project Develops An Intelligent AI-based System That Assists Users In Identifying Suitable Investment Plans Based On Their Personal Financial Profiles. The System Collects User Data Such As Age, Income, And Risk Level, And Applies Machine Learning Algorithms Like Regression And Classification To Analyze And Recommend The Best Investment Options. It Also Utilizes Lexical Features Such As Length, Digits, Hyphens, And Suspicious Words Extracted From Domain Names To Ensure Data Security And Source Reliability. The AI Model Provides Smart, Personalized Investment Suggestions, For Example, Recommending Specific Amounts To Invest In Suitable Plans Like Mutual Funds, Enabling Users To Manage Their Finances Effectively. Being Cloud-hosted, The System Allows Users To Access It Conveniently From Anywhere Through A Web Or Mobile Platform. By Acting As A Virtual Financial Advisor, The System Empowers Users To Make Informed Financial Decisions, Improve Investment Planning, And Enhance Their Long-term Financial Growth. In The Future, The Model Aims To Incorporate Advanced Predictive Analytics To Forecast Market Trends And Offer More Dynamic, Data-driven Investment Insights, Helping Users Stay Ahead In An Ever-evolving Financial Landscape.

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