Advanced GST ERP Computation Model

The Advanced GST ERP Computation Model is a centralized ERP system developed to automate business operations such as enquiries, quotations, inventory, purchase orders, attendance, and GST-related processes through multiple user roles like Management, Accountant, NPD, and Store Incharge.

By leveraging advanced algorithms and data analytics, the model ensures that businesses can efficiently manage their GST obligations, reduce manual errors, and maintain compliance with evolving tax regulations. It offers comprehensive features including automated tax calculations, detailed reporting, and customizable workflows to suit the unique needs of each organization.

AI-Powered Sofa Design & Cost Automation

AI-Powered Sofa Design & Cost Automation is an intelligent manufacturing solution that converts a sofa image and its basic dimensions into a complete engineering and production package. Using Artificial Intelligence, Machine Learning, and 3D CAD modeling, the system identifies key internal components such as the wooden frame, foam, springs, fabric, and stainless steel structures. It then generates an accurate 3D model, Bill of Materials (BOM), material optimization plan, and manufacturing cost estimate. By automating material calculations, waste optimization, labor estimation, and quotation generation, the platform reduces manual effort, improves accuracy, and speeds up the furniture design-to-production workflow, enabling smarter and more cost-effective manufacturing.

Community Driven Safety App

A community-driven emergency response platform built with React Native and Firebase backend. This mobile application enables real-time emergency detection and peer-to-peer response coordination. The core innovation is an advanced multi-sensor fusion engine that monitors accelerometer, gyroscope, microphone, and proximity sensors to automatically detect falls and accidents with 80-90% accuracy while minimizing false positives. Users can manually trigger SOS alerts or rely on autonomous detection with a smart countdown verification system. The platform leverages GPS tracking, push notifications and Firebase. Firestore for real-time location broadcasting and responder coordination. Designed for high reliability in critical situations, the app features encrypted PIN-based authentication, offline data persistence, and an intuitive dashboard for emergency originators to track responder proximity and status in real-time. This solution addresses the critical use case of elderly care, accident detection, and community-based emergency response where immediate peer assistance can be life-saving.

Metamorphosis of CO2

Metamorphosis of CO2 System is an intelligent emission control solution designed to reduce harmful pollutants from vehicle exhaust using a combination of thermal treatment, chemical absorption, biological carbon capture, and Artificial Intelligence. The system first passes exhaust gases through a Thermal Reactor containing heated Mild Steel (MS) rods, where partial oxidation of carbon monoxide (CO) and unburned hydrocarbons (HC) takes place. The gases then enter a Lime Water Chamber, where carbon dioxide (CO₂) reacts with calcium hydroxide to form calcium carbonate (CaCO₃), reducing CO₂ emissions. Finally, the remaining exhaust passes through an Algae Bioreactor, where microalgae absorb residual CO₂ through photosynthesis and release oxygen while producing useful algal biomass. An AI-based monitoring system continuously collects data from temperature, gas concentration, pressure, and flow sensors to optimize system performance, predict maintenance requirements, and improve overall emission reduction efficiency. By integrating thermal, chemical, biological, and AI-driven technologies into a single low-cost, modular system, the proposed solution aims to provide an innovative, sustainable, and scalable approach for cleaner vehicle emissions.

SwasthyaSync

SwasthyaSync – Hospital Management System is a comprehensive Hospital Management System that digitizes clinical, administrative, and financial workflows for healthcare institutions through a secure multi-tenant architecture. Developed using React, Node.js, Express, and PostgreSQL, the platform manages patient registration, OPD/IPD operations, diagnostics, billing, document handling, and hospital-specific reporting with role-based access control. It incorporates automated PDF generation, audit logging, barcode and QR integration, and transactional workflows to ensure data integrity and operational efficiency. By centralizing healthcare operations and streamlining patient management, the system reduces administrative overhead while improving accuracy, compliance, and overall hospital productivity.

Product Quality Check

The Product Quality Check (Max Auto Cable Private LTD) system is an AI-powered automated dimensional inspection solution designed to streamline quality control in manufacturing. Using intensive algorithms and intelligent measurement architectures, it captures images of hardware components, extracts precise dimensions, and compares them with engineering blueprints to detect deviations. The non-contact, automated approach improves inspection speed, measurement consistency, and defect detection while reducing manual effort, production costs, material waste, and rework, providing a scalable solution for high-precision industrial quality assurance.

SugarMitra

SugarMitra is an intelligent, non-invasive health monitoring application designed to provide quick, indicative blood sugar range predictions using a combination of colorimetric analysis, smartphone computer vision, and machine learning. The system first requires the user to dip a standard urine test strip and capture a clear image of the color change using their mobile device's camera, eliminating the need for painful blood draws or external glucometers. The captured visual data then enters the application's processing engine, where an AI-driven model analyzes the strip's color spectrum against a meticulously calibrated reference chart. Finally, the system instantly translates this colorimetric data into an indicative blood sugar range tailored for either fasting or post-meal states. A privacy-first tracking system logs these readings locally without relying on cloud storage, allowing users to monitor metabolic trends over time while ensuring maximum data security. By integrating mobile technology, image processing, and machine learning into a single low-cost, hardware-free platform, the student-built solution aims to provide an innovative, private, and accessible approach to proactive health management.