AI-Powered Customer Insights

Transform your customer feedback

Automatically analyze, categorize, and extract meaningful insights from your WhatsApp customer messages. Make data-driven decisions that improve customer satisfaction and business growth.

Real-time Analytics Dashboard

Everything you need to understand your data better

Sentiment Analysis

Automatically classifies customer messages as positive, negative, or neutral using AI-driven models to help identify satisfaction and dissatisfaction trends.

Topic Categorization

Tags each message with a relevant topic (e.g., delivery issue, refund request) using rule-based or ML-based classification for better organization and filtering.

Real-time Message Ingestion

Receives and stores customer messages and media from WhatsApp instantly via webhook, allowing the dashboard to stay up to date with new feedback.

Media Integration

Processes and stores customer-shared images and videos securely on Amazon S3, with direct access from the dashboard for visual reference.

Dashboard Search & Filtering

Enables administrators to search, filter, and group feedback by sentiment, topic, time range, or user-defined tags for focused analysis.

Secure & Compliant Storage

Ensures all feedback data and media are securely stored in PostgreSQL and S3 with privacy-compliant access controls.

TheUnc Project TheUnc Project

Transform your data into actionable business insights with real-time analytics.

Business Name:

Joshua Ogunbo

Founded by:

Joshua Ogunbo, Akinyemi Apampa, David Fakolujo

Final project for DATA608 at the University of Calgary

© 2024 TheUnc Project. All rights reserved.