Ankit Stock Market Analyzer Solutions is a full-stack Django + React application that analyzes sector-based stocks (IT, Automobile, Banking, Business) using live Yahoo Finance data. It calculates PE Ratio, Discount Level, and Opportunity Score, and visualizes 3-month historical trends through an interactive dashboard.

The Interactive Budget Analyzer is a powerful Excel-based tool designed to streamline the personal finance management. It features dynamic tracking of income and expenses, real-time updates, and intuitive visualizations. With detailed dashboards and customizable charts, this tool provides a comprehensive overview of your financial health.

Interactive Next.js Finance Analyzer Dashboard for HDFC Bank Statements

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AI Finance Stock Market Prediction and Analyzer Dashboard

Personal Finance Analyzer — CSV import, dashboard, category management, localStorage persistence

A Finance Analyzer Dashboard that parses financial language and returns an output using NLP

HK & China stock sentiment analyzer — scrapes RSS/Yahoo Finance, runs VADER+Claude sentiment, displays signals in Dash dashboard

AI Data Center Research Dashboard: Circular Financing Network, Monte Carlo P&L Modeler, Earnings Call CAPEX Conviction Analyzer

AI-powered personal finance analyzer agent - upload bank statement CSVs and get autonomous spending analysis, categorization, and visual dashboards

Privacy-first personal finance and investment analyzer that processes PDFs/CSVs locally, tracks equities, categorizes transactions, and visualizes insights via interactive dashboards.

Personal Finance Dashboard & Budget Analyzer: This project uses real data, helps people solve a problem (budgeting), and showcases data processing, visualization, automation, and web deployment.

Personal Finance Analyzer Agent - An agentic AI app that autonomously analyzes bank statement CSVs, categorizes transactions, detects spending patterns, and generates a visual financial health dashboard.

Personal finance analyzer in Python with an interactive dashboard, automatic spending insights, and monthly investment capacity calculation. Analisador de finanças pessoais em Python com dashboard interativo, insights automáticos de gastos e cálculo de capacidade de investimento mensal.

Perplexity Compute Command Center — GPU fleet management & advisory platform for engineers and finance. Interactive web app with fleet dashboard, GPU advisor, cost analyzer, job scheduler, capacity planner, knowledge base, monitoring, and Grafana integration.

Multi-Venue Market Data Simulator & Latency Analyzer - Elite-level quantitative finance application with real-time latency analysis, PnL attribution, and professional interactive dashboards. Built with Python, Streamlit, and Plotly for trading system optimization and portfolio demonstrations.

💰 SpendWise – AI-Powered Spending Analyzer & Personal Finance Insights Dashboard. A smart expense tracking application that automatically categorizes transactions, visualizes spending patterns, provides personalized AI insights, lets you set spending limits with real-time alerts, and generates downloadable monthly PDF reports.

Stock Dashboard Analyzer is a Flask-based web application that provides stock market insights using real-time financial data from Yahoo Finance. It enables users to visualize stock trends, analyze market correlations, and perform technical analysis with indicators like Moving Averages and Bollinger Bands

Personal Finance Analyzer is a web-based application built with Streamlit that helps users track, analyze, and visualize their personal expenses. Upload your bank or transaction CSV, and instantly get category-wise spending insights, trends, and unusual expense alerts — all in a modern, dark-themed dashboard.

AI-powered Personal Finance Analyzer built with Python, Streamlit, Pandas, and scikit-learn. Upload CSV bank statements to get ML-based expense categorization, monthly savings analysis, spending reduction suggestions, and budget forecasting with confidence intervals. Features interactive charts, dark-themed dashboard, and local-only data processing