Complainlytics
AI-powered complaint analytics and grievance intelligence platform
AI-powered complaint analytics and grievance intelligence platform that transforms raw customer complaints into actionable insights using Natural Language Processing and machine learning.
Overview
Complainlytics helps organizations analyze large volumes of customer complaints efficiently. It automatically classifies complaints, detects duplicates, identifies trends, and provides actionable insights to improve decision-making and customer satisfaction.
Features
- Interactive complaint dashboard with analytics
- NLP-based classification (category, sentiment, severity)
- Duplicate complaint detection system
- Trend analysis and pattern recognition
- AI-generated response suggestions
Tech Stack
Frontend: React, TypeScript, Tailwind CSS Backend: Python (Flask / FastAPI) AI/NLP: Scikit-learn, NLP models Data: CSV datasets
Project Structure
backend/ - API and backend logic frontend/ - User interface and dashboard nlp/ - Machine learning models and NLP pipeline genai/ - AI response generation data/ - Sample datasets
How to Run
Backend
cd backend python app.py
Frontend
cd frontend npm install npm run dev
Use Case
This project is designed for organizations to manage and analyze customer complaints efficiently, enabling faster resolution, better prioritization, and improved customer experience.
Author
Nandini Singh
Future Improvements
- Real-time complaint streaming
- Advanced deep learning models
- Cloud deployment (AWS / GCP)
- User authentication and role-based access