Raj Kishore S

Pocket Sense is a comprehensive financial literacy platform designed to help users make informed financial decisions. Here are some key ways it solves existing problems: • Personalized Investment Suggestions: Users can able take a quiz to get a tailored investment plans based on their financial goals, risk tolerance, and preferred investment timeframe. This is achieved using machine learning models like Decision Trees( initial plan), Random Forests, and K-Means Clustering. • Expense Tracking with Dynamic Budgeting: The platform logs daily expenses, categorizes them, and generates budget templates. It uses Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) models to predict future expenses and provide real-time budget adjustments. • Investment Portfolio Management: It consolidates user investments and forecasts future returns using Bayesian Networks and Monte Carlo simulations, helping users assess risk and make data-driven decisions. • Group Expense Manager: Users can able to log group expenses, and the system splits the bill among participants as required , tracks contributions, and calculates outstanding amounts using Gradient Boosting Machines (GBM) and Rule-Based AI Systems • EMI Calculator: Provides a simple mathematical formula for calculating loan repayments, helping users understand their financial commitments from expense data from Expense Tracker before taking a loan. • Real-Time Chat Room: Enables users to engage in discussions on market trends, share investment strategies, and get advice on portfolio management, fostering community interaction.

EcoFortune addresses the lack of accessible tools for eco-conscious individuals to make informed financial decisions. It bridges the gap between sustainable practices and personal financial planning, empowering users to align their investments with environmental values while tracking their positive impact.