Uttam sahu · Wooble

ExpiryAlert Pro – Business Record Expiry Tracker

ExpiryAlert Pro is a smart business record expiry tracking dashboard designed to help companies monitor important records before they expire. The application helps track records such as vendor contracts, compliance certificates, insurance policies, safety training records, machine inspection reports, and government licenses. Key features: - Add, edit, and delete business records - Automatic expiry status calculation - Active, Expiring Soon, and Expired classification - 30-day expiry alert rule - Dashboard cards for total, active, expiring soon, and expired records - Search, status filter, category filter, and sorting - Upcoming renewals panel - Demo data for quick testing - Auto-save functionality for browser-based testing The goal of this prototype is to provide managers with a simple screen where they can quickly understand what is active, what is expiring soon, what has expired, and what needs immediate action. GitHub Repository: https://github.com/uttam25425/expiry-alert-pro Live Demo: https://uttam25425.github.io/expiry-alert-pro/ Demo Video: https://youtu.be/P8x6YhCX9Ec?si=DyZf0HqNuWmm1eZc For production, I would add backend APIs, authentication, database storage, company-wise access, role-based permissions, automated email reminders, and renewal history tracking.

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ExpiryAlert Pro – Business Record Expiry Tracker

ExpiryAlert Pro is a smart business record expiry tracking dashboard designed to help companies monitor important records before they expire. The application helps track records such as vendor contracts, compliance certificates, insurance policies, safety training records, machine inspection reports, and government licenses. Key features: - Add, edit, and delete business records - Automatic expiry status calculation - Active, Expiring Soon, and Expired classification - 30-day expiry alert rule - Dashboard cards for total, active, expiring soon, and expired records - Search, status filter, category filter, and sorting - Upcoming renewals panel - Demo data for quick testing - Auto-save functionality for browser-based testing The goal of this prototype is to provide managers with a simple screen where they can quickly understand what is active, what is expiring soon, what has expired, and what needs immediate action. GitHub Repository: https://github.com/uttam25425/expiry-alert-pro Live Demo: https://uttam25425.github.io/expiry-alert-pro/ Demo Video: https://youtu.be/P8x6YhCX9Ec?si=DyZf0HqNuWmm1eZc For production, I would add backend APIs, authentication, database storage, company-wise access, role-based permissions, automated email reminders, and renewal history tracking.

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MemoryVerse AI – Digital Identity System

Project Name: MemoryVerse AI – Digital Identity System GitHub Repository: https://github.com/Uttam25425/memoryverse-ai Live Demo: https://memoryverse-ai.onrender.com Demo Video: https://youtu.be/08bTpNCPEJc?si=qp6Q7s1QNnTodVt1 MemoryVerse AI is an AI-powered student digital identity repository. It helps students upload and organize resumes, certificates, internship letters, project reports, academic records, portfolio links, GitHub repositories, and achievements. The system starts with an empty dashboard. Reviewers can click “Load Sample Student Data” to add demo student records and test the complete workflow. Users can also upload their own sample document, and the system automatically categorizes it, extracts skills, maps relationships, creates a digital journey timeline, and enables smart natural language search. Demo search examples: - Show all my certificates - Show my AI projects - Show internship documents - Show my latest resume - Show my full stack journey Tech Stack: HTML, CSS, JavaScript, Python Flask, SQLite, GitHub, Render, NLP-inspired categorization, skill extraction, and semantic-style search. Goal: To help students never search through folders again.

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Student Expense Tracker System

Students often struggle to track their daily expenses and understand where their money is being spent. Manual tracking is time-consuming and error-prone, making budgeting difficult. The goal was to develop a simple expense tracking system that allows students to record, categorize, and analyze their spending efficiently. Process I first identified the common challenges students face in managing personal finances. After gathering requirements, I designed a menu-driven application with features such as adding expenses, viewing records, searching by category, generating reports, and analyzing spending patterns. I implemented the system using appropriate data structures and tested each module individually to ensure accurate calculations and smooth user interaction. Multiple iterations were made to improve usability and performance. Results The application successfully enabled users to record and manage expenses in one place. Users could quickly generate reports, analyze spending habits, and track expenses by category. The final solution improved financial awareness and reduced the effort required for manual expense management. Reflection n future versions, I would add a graphical user interface, cloud-based data storage, and data visualization features such as charts and dashboards. I would also implement budget alerts and mobile accessibility to improve the overall user experience.

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Queue Cure Live – Smart Hospital Queue Management System

Hospitals and clinics often face long waiting queues where patients do not know their position in the queue, estimated waiting time, or when they will be called for consultation. This creates confusion, overcrowding, and poor patient experience. We identified the need for a smart queue management system that provides real-time patient tracking, wait-time prediction, and consultation monitoring to improve hospital workflow and patient satisfaction.. Process We started by analyzing common problems faced in clinics, such as long waiting times and lack of transparency in patient queues. We designed a dashboard that allows reception staff to add patients, assign consultation times, and manage the queue efficiently. Using HTML, CSS, JavaScript, and Firebase, we implemented real-time queue tracking, automatic token generation, countdown timers, patient history management, and analytics. Multiple tests were performed to ensure accurate wait-time calculation and smooth patient flow. Results The system successfully provides real-time patient queue management, accurate waiting time prediction, live consultation tracking, and cloud-based patient record storage. It improves transparency for patients, reduces waiting confusion, and helps clinics manage patient flow more efficiently. The dashboard provides useful analytics such as waiting patients, completed consultations, average wait time, and operational efficiency. Reflection In future versions, we plan to add SMS and WhatsApp notifications, online appointment booking, multi-doctor support, AI-based wait-time prediction, and advanced analytics. These enhancements will further improve patient experience and hospital efficiency.

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Ambula Care - Doctor Appointment Booking System

Patients often face difficulty booking doctor appointments because the process depends on phone calls, WhatsApp messages, or manual registers. This creates confusion, unavailable slot issues, and chances of double booking. Doctors also need a simple dashboard to view today’s appointments, patient health summaries, consultation notes, prescriptions, and blocked slots. I first broke the project into two user flows: patient booking and doctor consultation management. On the patient side, I built doctor search, doctor profile, slot selection, booking form, health summary, and unique Booking ID generation. On the doctor side, I added secure login, today’s appointment dashboard, diagnosis notes, prescription, and slot blocking. I connected the frontend with a Node.js and Express backend, used MongoDB Atlas for storing data, and deployed the frontend on Netlify and backend on Render. I also handled double-booking prevention at the backend/database level using a unique doctor-date-time slot constraint. The final project is a live full-stack healthcare booking platform. Patients can search doctors, book appointments, and receive a unique Booking ID. Doctors can log in, view appointments, check health summaries, save consultation notes, write prescriptions, and block unavailable slots. The system shows 7 days of doctor slot availability and prevents duplicate bookings for the same doctor and time slot. With more time, I would improve the UI further, add patient login, SMS/email reminders, online payment, admin panel, and complete patient medical history. I would also add more real-world testing with users to improve the booking experience and make the doctor dashboard more advanced.

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