Optimize Financial Categorization with ML-Powered CoKeeper

Optimize Financial Categorization with ML-Powered CoKeeperOptimize Financial Categorization with ML-Powered CoKeeper

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Gian-Carlo Javier

• May 10

CoKeeper — ML-Powered Financial Transaction Categorizer

Built a full-stack ML platform that automatically classifies financial transactions into General Ledger categories with 92.5% accuracy. Reduces accountant workload by 70-80% using a 3-tier confidence system — auto-accept, review, or manual. Supports QuickBooks and Xero with batch CSV and Excel processing. Deployed on Google Cloud Run with automated CI/CD.

AI Automation Backend Development Data Engineering Python

Alla Pankovska

• Jul 4

🚀 Continuing my backend development journey.

Recently I've been focusing on building REST APIs with Python, Django REST Framework, PostgreSQL, Docker, Git, and Linux.

Every project helps me improve API design, database modeling, clean architecture, and maintainable backend code.

I'm continuously learning and looking forward to new backend development opportunities.

#Python #Django #BackendDevelopment

Python Django Backend Development

Vijay Rathod

• Jul 4

Smart Doctor Appointment & Reporting Assistant is an AI-powered healthcare platform that simplifies appointment booking and clinic management. It uses an autonomous AI agent with the Model Context Protocol (MCP) to schedule appointments, check doctor availability, and automate email confirmations through Google Calendar and Gmail integration. Patients can book appointments, view medical history, and interact with the AI assistant using natural language. Doctors can access analytics dashboards, patient records, and AI-generated clinic reports. Built with React, FastAPI, PostgreSQL, NVIDIA Llama 3, and MCP, the system delivers an intelligent, scalable, and user-friendly healthcare experience