Finalize Cloud Dialer CRM lead generation backend and deployment fully functional

I already have a cloud-based dialer/CRM/lead generator running and a partially built backend that’s not yet speaking fluently with it. I need you to bridge that gap, polish the remaining pieces of the architecture, and push the whole stack live. Core goals • Real-time data must sync both ways so every call, note, and status change is instantly reflected across the system. • Leads should flow automatically from capture to assignment using the logic already drafted in the backend. • Meaningful analytics and reporting dashboards have to light up so I can track contact rate, agent performance, and campaign ROI from day one. Where things stand – The backend repo is in place with basic models, API stubs, and auth. – The dialer/CRM is fully operational in the cloud; API keys and docs are ready. – Dev environment and staging server are provisioned. What I expect as deliverables 1. Completed API endpoints and webhook listeners that cover all data objects (leads, calls, agents, campaigns). 2. Lead-allocation rules implemented and validated against real sample data. 3. Analytics module plugged into the existing reporting UI, feeding off live events. 4. End-to-end test suite plus a short deployment script so I can hit “go” and launch. Stack is flexible—current code is Node.js with MongoDB, but if you can justify a tweak that speeds us up, I’m open. Once everything passes QA on staging, we’ll flip the switch to production and I’ll monitor with you for the first day to make sure events, allocations, and reports all land exactly where they should.... $100.00 to begin and $100.00 when complete = $200.00 in all . If there is any issues in the front end that i have created with AI on the front end then to resolve that issue , you will fix or replace that function . but there bust be a working function . I still have credit on [login to view URL] if you need it to create or correct any part .... $100.00 to begin and $100.00 when complete = $200.00 in all

ID do Projeto: 40167403