Nabd – Beneficiary Voice and Complaint Analytics
An AI-powered beneficiary voice and complaint analysis platform that classifies feedback, analyzes sentiment, identifies priorities, and generates actionable insights and trends to support decision-making.
Turning beneficiary voice into actionable insight
The platform brings complaint and feedback data into one analytical experience, using AI to understand content, sentiment and priority while providing summaries and insights for monitoring topics and trends.
Platform capabilities
Beneficiary Voice Analysis
Analyze complaints and feedback through a unified analytical view.
Sentiment Analysis
Identify sentiment across beneficiary feedback.
Classification and Priority
Classify complaints and determine priority and urgency.
AI-generated Summaries
Produce concise content summaries to support review.
Insights and Trends
Present indicators and trends through an analytical dashboard.
Dataset and History Exploration
Explore datasets and return to previous analysis history.
Relationship Visualization
Visualize relationships and networks across topics and data.
AI-powered Analysis
Analyze information with a locally hosted language model.
Project technologies
Python
Streamlit
SQLite
Pandas
Plotly
NetworkX
Ollama
Qwen
Docker
Coolify
Locally hosted artificial intelligence
The platform integrates with Ollama to run a Qwen model locally on the server, supporting complaint analysis, summaries and insights based on system data.
Open Nabd
Launch the beneficiary voice and complaint analytics platform.