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.

Sentique is a full‑stack feedback analytics platform that ingests user reviews from App Store, Google Play, Trustpilot, Reddit and Twitter/X, processes them with a fine‑tuned BERT model into 16 categories and sentiment labels, and provides comprehensive analytics and insights.

AI-powered customer feedback analyzer — Gemini classifies sentiment (Positive/Negative/Neutral), logs to Google Sheets, sends email alerts via n8n

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

A Python project that cleans customer feedback and analyzes ratings, comments, word counts, and key insights.

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

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

Feedback Recording System used by bank branches. The system is designed to record customer feedback regarding services provided at teller positions, provide reporting options, and include an administration module for managing branches, teller positions, and user roles.

📊 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.

Develop a database to store and analyze customer feedback for a product or service.

AI Decision Workspace & Customer Feedback Synthesis Engine for AI Product Managers and Designers. Powered by Gemini & OpenRouter LLMs.

Automated workflow built in Zapier that analyzes customer feedback using GPT-4o Mini for sentiment classification, routing responses through personalized emails or escalation notifications via WhatsApp.

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

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.

Turn customer feedback into ranked, evidence-backed product decisions. Project 1 of 10 in a 30-day founder AI build series.

n8n + Claude AI pipeline that clusters customer feedback from multiple sources into scored, prioritized themes - outputs to Markdown, Slack, or Notion

AI-assisted review and feedback app demonstrating product UX, TypeScript implementation, and applied LLM workflows.