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PocketLedger

The Expense Tracker is a full-stack web application designed to help users efficiently manage their daily expenses and income. The system allows users to record, categorize, and analyze their financial transactions in a simple and user-friendly interface. The application provides features such as adding, updating, and deleting expenses, categorizing transactions (e.g., food, travel, bills), and viewing summaries through dashboards. Users can track their spending habits over time and make better financial decisions based on insights generated by the system. The frontend is developed using HTML, CSS, JavaScript (or React if used), ensuring a responsive and interactive user interface. The backend is built with Node.js and Express.js, handling business logic, authentication, and API integration. Data is securely stored in a database such as MongoDB / MySQL. Additionally, the application may include features like user authentication (login/signup), real-time balance updates, and visual reports (charts/graphs) for better understanding of financial data.

ATS Analyzer and Job Prep Platform

🚀 ATS Analyzer & Job Prep Platform is an AI-powered web application designed to help students and job seekers improve their resumes and become more job-ready. It allows users to upload their resume, check their ATS score, compare it with a job description, identify missing keywords and skills, and receive AI-generated suggestions for improvement 📄🤖 The platform also predicts the best-suited job roles based on resume content and provides a smarter way to prepare for placements and job applications 🎯💼 Built using Python, Streamlit, MongoDB, Machine Learning, and AI APIs, this project focuses on solving a real-world problem by making resume optimization and job preparation more practical, personalized, and effective ⚡✨

AI-Based Dynamic Trust Scoring Engine for Zero Trust Security

A real-time AI-powered trust scoring engine designed for Zero Trust architectures. This system dynamically evaluates user, device, and network risk signals to generate a continuous trust score and enforce intelligent access decisions — allow, challenge, or deny. Built using FastAPI and machine learning (Logistic Regression), the engine simulates real-world cybersecurity scenarios with explainable AI outputs and a live dashboard for monitoring decisions. 🔑 Key Features: 🔍 Real-time trust score calculation (0–1 scale) 🤖 AI-driven decision system (Allow / Challenge / Deny) 📊 Live dashboard with metrics & activity logs 🧠 Explainable AI (reasoning + feature contributions) 🔐 API key-based security layer ⚙️ Configurable scoring weights 📡 Background simulator for live traffic 💡 Use Case: Ideal for Zero Trust Networks, cybersecurity systems, identity access management (IAM), and risk-based authentication platforms.