feedback-analysis

Open source, privacy-first Voice of Customer analytics. A self-hosted alternative to Enterpret and Unwrap that strips PII from feedback before any LLM sees it.

Open-source, self-hosted feedback intelligence. Turn customer feedback into sentiment, pain points, feature requests and churn risk — on your own infrastructure, with your own (or a local) LLM key.

面向微信等社群导出的多模态反馈洞察、微话题挖掘、5W1H事实链核验与可追溯AI决策平台 | Multimodal Community VoC & AI Feedback Insights Platform

An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.

A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom

📊 German Sentiment Analysis for Service Desk Feedback with TextBlob-de, Hugging Face's BERT, and Custom Self-Trained Models. Welcome to the German Sentiment Analysis project, where we utilize TextBlob-de, Hugging Face's BERT, and Custom Finetuned Models for analyzing customer feedback from a service desk.

A Python major project developed during my Summer Industrial Training (2025).

A new package designed to take user input about accessibility challenges and generate structured summaries or actionable recommendations. It leverages advanced pattern matching with language model int

Turn customer feedback into structured labels, dashboards, and an AI query engine — running locally. PII redacted, taxonomy versioned, confidence-based review queue. No SaaS, no data leaks.

Local-first NPS analytics with offline NLP, optional AI, injection defense, and metric verification.

AI-powered product feedback intelligence pipeline — Claude, n8n, Make, Zapier, Node-RED

AI agent for analyzing hotel guest feedback into operational issue reports, built with Agentic Star.

A lightweight, business‑ready analytics tool that transforms raw text into visual insights.

AI-powered user feedback intelligence for product managers. Upload any feedback CSV → every entry gets enriched by LLM → get churn watchlists, bug matrices, feature maps, persona analysis, and executive PM briefs in minutes.

Poll Results Visualizer is an end-to-end data analytics project that transforms raw polling data into meaningful insights using Python and an interactive Streamlit dashboard.

End-to-end feedback intelligence pipeline clustering multi-channel user signals into prioritized product insights using NLP embeddings.

A production-style, multi-source feedback intelligence platform for product managers. Fetches live Google Play Store & App Store reviews, runs sentiment analysis, auto-detects bugs and feature requests, ranks issues by priority score, and generates stakeholder-ready weekly PDF reports — all via a real-time Streamlit dashboard.

Local-first AI product and operations feedback evaluation dashboard built with Streamlit.

AI-driven platform for analyzing emotional tone and sentiment across social media platforms. This tool helps brands, organizations, and researchers understand public opinion, detect crises early, and make data-driven decisions.

Context-aware formative feedback evaluator with multidimensional rubrics, evidence boundaries, error analysis, and human-rater validation.