A complaint management app that helps user to send send the compaints to different departments, admin can forward complaints to respective dept. and dept. officer will reply to that complaint. 🔥
A system helps manage user complaints.
AI-powered customer support automation with LangChain & LangGraph. Multi-agent system for intelligent complaint processing, priority assignment, and automated responses. Built with FastAPI, React & SQLite.
A smart civic complaint management system for cities, allowing users to report and track issues like potholes, garbage, or water leaks.
Streamlit AI complaint management system with Gemini-powered chatbot, intelligent ticket routing, agent assignment, SQLite, and email notifications.
Complaint management web application for Universidad Mayor. Fully functional prototype, made using Angular during the Web Development Architecture course.
Full-stack university complaint management SaaS with real-time tracking and analytics
Urban issue management platform for citizens and administrators. SDG 11 aligned complaint tracking system with role-based access, SLA monitoring, and interactive visualization.
A mobile app built with Flutter that allows users to register complaints, track their status, and manage updates using Google Sheets as a backend. Developed as part of an internship project.
ComplaintEase is a Django-based web application developed to simplify the collection, management, and analysis of complaints within institutions such as colleges, hostels, or organizations.
A citizen-centric complaint management platform that enables users to report civic issues, track complaint status, and improve communication between citizens and municipal authorities.
Odoo 18 module for managing customer complaints at AlMiyah Djazair — registration, classification, team assignment, and tracking across agencies.
A social networking web app built with MERN stack
Full-stack civic issue reporting platform for KSEB & PWD — citizens report infrastructure problems, officials dispatch staff and track resolution. React, Node.js, PostgreSQL.
Enhancing Rail Madad with Al-powered Complaint Management , done for SIH'24
Advanced backend system providing intelligent healthcare services, doctor discovery, appointment management, real-time consultations, and medical tourism support with multilingual and geolocation capabilities.
AI-powered Complaint Management System built with Laravel and Python
Complaint Management System generated with HTML + Tailwind + NestJS, PostgreSQL, realistic seed data, verified Docker setup, Swagger API, docs, and screenshots.
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