AI-Powered Complaint Management System — A Flask-based app that uses Machine Learning to classify and route customer complaints automatically, manage case status, and provide analytics for smarter workflow handling.

🚀 AI-Powered Support Ticket Classifier Automatically classify customer support tickets by issue type and urgency, and extract product names, complaint keywords, and dates — with an interactive Gradio UI.

AI-based grievance analysis system that classifies complaints using ML.

An AI-based system to classify municipal complaints and detect urgency using NLP

AI-based system to classify and route e-governance complaints automatically using Python.

The AI-Powered Complaint Management System is a full-stack web application that allows users to submit complaints and automatically classifies them using AI-based text analysis.

A FastAPI-based AI web app that uses NLP techniques to classify real-world complaints and assign priority levels, automating complaint triaging for organizations.

This AI-based system understands complaints, classifies them and prioritises the complaints based on the severity of the problems faced by the public, and the complaints can be tracked very easily by the people

AI-Driven Complaint Classifier Intelligence System for Banking is a web-based application that uses Machine Learning and NLP to automatically classify and prioritize customer complaints. It predicts complaint categories and urgency levels, provides dashboard analytics, and improves efficiency, accuracy, and response time in banking operations.

An AI-based web app that classifies emails into Spam, Complaint, Feedback, and Urgent using NLP and machine learning.

AI-Powered Complaint Management System — A Flask-based app that uses Machine Learning to classify and route customer complaints automatically, manage case status, and provide analytics for smarter workflow handling.

This is an AI-based project to classify and analyse the public and citizen complaints and route them to the relevant authorities.

An AI-powered system that automatically classifies consumer complaints, predicts severity for prioritization, recommends solutions based on policies and historical cases, and includes a natural-language chatbot for querying complaint data, helping organizations handle large complaint volumes faster and more consistently.

An AI-based web application that allows users to submit complaints and uses Natural Language Processing (NLP) to automatically classify, prioritize, and route complaints to the appropriate department, improving efficiency and response time.

An AI-powered multi-agent workflow that reads customer complaints, classifies them into root causes, suggests corrective actions, and assigns SLA-based ticket resolutions — fully automated end-to-end.

AI-powered Public Grievance Management System. Capture, translate, classify, and track citizen complaints across multiple channels. Features: Multilingual support, AI-based categorization, automated assignment, and interactive dashboard. Built with Python, Flask, and OpenAI API.

CivicAI is an AI-powered civic grievance management platform that enables citizens to report issues, automatically classifies complaints, assigns priority scores based on urgency, and helps authorities resolve problems efficiently.

Our AI-powered solution automates the analysis and routing of public service complaints, addressing delays and inefficiencies in manual processes. By using machine learning, we can accurately classify complaints based on urgency, sentiment, and topic, ensuring faster resolutions, better resource allocation, and improved citizen satisfaction.

CivicLens is an AI-based civic issue detection and complaint management system. It uses a CNN model to classify civic problems such as potholes, garbage, and open manholes from images. Built with React.js, Node.js, MongoDB, and TensorFlow to help authorities manage and resolve complaints efficiently.

AI Cybercrime Reporting Assistant is a smart web-based system that helps users identify, classify, and report cybercrimes easily. It guides victims step-by-step, validates complaint details, and generates structured reports for faster investigation.

This workflow uses AI to analyze user feedback and classify it as complaint, compliment, or appreciation. Based on the category, it automatically sends a suitable email response to the user, ensuring fast and professional customer communication.

The SDG-11 AI Civic Issue Analysis Assistant is a Python-based multi-agent system that analyzes civic complaints, classifies issues, determines priority levels, retrieves relevant policies, and provides actionable recommendations to support sustainable urban development.

CivicLens AI is an AI-based web application that analyzes public complaints using NLP and machine learning. It classifies issues, detects sentiment and urgency, generates summaries, and provides real-time analytics through an admin dashboard to enable faster, data-driven decision-making

AI-assisted Spring Boot REST API that classifies user input text into Complaint, Query, Feedback, or Other. It uses keyword-based AI logic, returns category with confidence score, and stores classified data using JPA with H2 in-memory database for future scalability.

A Python-based multi-agent AI system that classifies inputs (PDF, JSON, Email), detects intent (e.g., Invoice, RFQ, Complaint), and routes them to the appropriate agent. Includes shared memory for context tracking and test files for easy validation.

An AI-based system designed to help Indian citizens understand their basic legal rights in common situations such as tenant disputes, consumer complaints, and employment issues. It uses machine learning to classify user-described situations and maps them to relevant Indian laws.

Developed a smart web app for citizens to report civic issues like potholes, garbage, sewage leaks, and streetlight faults using image uploads and real-time tracking. Integrated CNN-based AI to auto-classify issues and route complaints. Built with Python, React.js, MySQL, TensorFlow, and OpenCV.