customer

CRM and Task management software, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨

🐙 Integrate Home Assistant with n8n to run conversation agents, expose AI tasks via webhooks, and share context to n8n for smarter automations.

Erpnext Custom Pricing rule , commission , tools etc..

TRACARDI is a new HOME for your customer data. TRACARDI is an Composable API-first solution for any company that need inexpensive CDP to intergrate with.

AI-powered Customer Support Ticket Triage system that automatically classifies, prioritizes, analyzes, and routes support tickets using Machine Learning and NLP.

projeto de análise de dados em excel - análise cohort e análise RFM

Built and trained a PyTorch fraud-classification model on imbalanced tabular data, calibrating decision thresholds on validation data and evaluating with precision/recall to avoid misleading accuracy metrics; built a companion dashboard to visualize risk signals.

AI-powered customer support agent with knowledge-base search, response drafting, and workflow automation.

This is a Customer Churn Prediction project built with a Random Forest machine learning model trained on an open-access Kaggle dataset. The app uses Streamlit to provide an interactive dashboard where users can input customer details and instantly get a predicted churn probability.

Built an AI-powered customer support copilot that generates policy-grounded, personalized support replies using FastAPI, LangChain, Groq LLM, ChromaDB RAG, Mem0 Memory, SQLite, and Streamlit. Features human-in-the-loop review, backend tool calling, long-term memory, Docker deployment, and production-ready architecture.

A powerful web application that automatically discovers and extracts business contact information from the internet. This tool searches multiple search engines to find relevant business websites and extracts email addresses for lead generation.

Machine learning project to predict customer churn using data analysis, EDA, and classification models.

End-to-end machine learning workflow for predicting bank customer churn using Logistic Regression and Scikit-learn.

A full-featured, enterprise-grade customer self-service web application purpose-built to deeply integrate with your existing ERPNext ERP system. The platform bridges the gap between your internal operations and your customers, giving them 24/7 real-time visibility into their accounts, quotations, invoices, service requests, and product orders

AI-powered customer intelligence dashboard that turns public brand and competitor mentions into structured pain points, product opportunities, and CS/GTM actions.

This report documents the process of evaluating three optimization algorithms SGD (baseline), Adam, and RMSProp applied to an identical ANN architecture on the Teleconnect dataset, with the objective of identifying the best-performing optimizer for deployment in Otomoto’s marketing segmentation pipeline.

Credit card customer segmentation, churn prediction, and revenue analytics with Power BI dashboard

Member 5(Me) deployed the machine learning model as a FastAPI web service with /predict ,/health endpoints, containerized it using Docker, tested requests, and compiled the final project report. Responsibilities included merging all chapters, formatting, documenting API usage, and ensuring the project was technically complete and submission ready

Odoo 17 module that adds customer information on stock package labels (ZPL) and links packages to the related picking.

Power BI CX complaints dashboard using synthetic banking data (SLA, backlog aging, drivers, action tracker)