Artificial Intillegence » Cold Emailing Automation (AI-Driven)

Private

Project *AFC Artificial Intillegence  » Algo Trade Automation  » Algo Trade Manual  » Bulk mail Automation with web interface  » Bulk Mail Service For Bench Sales  » Code Generation Tool  » Cold Emailing Automation (AI-Driven)  » Invoice Inventory Automation  » invoice to inventory for evergreen  » Test Automation  » What's app Bulk messaging with AI agents  » Zelle Payment for evergreenCharan Technologies _ DevelopmentEver green Farms USA (static website)Evergreen farms (pos)Evergreen React ApplicationHackthonIT HappENSLucky BraidsMy Produce StandOffice Requirments  » Daily Tasks For Madhu  » Employees requirements  » Recruitment senior mern stack developer  » Red MIne Speed  » Senior Mern Stack DeveloperQA TestersRare FruitsRegal SolarRegal Solar DMRegal Solar Energy_ ReactReliance Home Builders_ reactRemit2AnyRestaurant POSRSVPRV_ EngraverSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTravel Mate

Tracker *Bug Feature Support

Subject *

Description Edit Today I am doing the architecture design and core environment setup required for : Architecture: Designed full backend–frontend–AI–queue–tracking architecture. Includes scraper agent, enrichment, verification, LLM, scheduler, tracking , Gmail reply detection, MongoDB, Postgres, Redis, and SMTP/Gmail flow. Database Schema Architecture: Created ER diagram for MongoDB (Leads, Campaigns, Templates, Jobs, EventLogs, Users) and Postgres (analytics time-series tables). Defined indexes, relationships, and data fields. Environment & API Integration Planning: Mapped each service to required API keys (Apollo, Gemini, Serper, Gmail OAuth, MongoDB, Redis). Verified compatibility with selected infrastructure. Technical UI Requirements: Defined UI/UX specifications for all application modules (Dashboard, Lead Scraper, Enrichment, Email Writer, Campaign Builder, Scheduler, Tracking, Inbox, Settings). Added detailed field requirements, components, filters, interactions, and workflows for digital-marketing use cases.