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

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).

📊 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.

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.

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

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

AI feedback analysis tool — aggregates and summarizes user feedback into actionable insights

Automated workflow using Make and Google Gemini to collect, analyze, and categorize customer feedback in real-time, reducing manual analysis time and enabling data-driven insights.

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

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.

A Rust crate for calculating Net Promoter Score (NPS) from survey responses.

Revenue & Feedback Intelligence AI MVP. Parses customer feedback, detects sentiment, categorizes issues, and generates action items using Google ADK.

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.

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

This n8n workflow processes new customer feedback from Google Sheets, routes responses by rating, saves positive reviews as testimonials, sends Slack alerts for negative feedback, and updates each processed record to streamline feedback management and customer support.

Feedback intelligence SaaS that turns raw user feedback into actionable product signals.

DE GAIL-inspired AI product portfolio project