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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 ApplicationGas Station ERPHackthonIT HappENSLucky BraidsMy Produce StandNoxa_JewelleryOffice 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 POSRSVPRushi GardensRV_ EngraverSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTechy_POS Travel Mate
Tracker *Bug Feature Support
Subject *
Description Edit I focused mainly on performance and stability improvements. I implemented lazy loading for emails, which significantly improved inbox loading speed. I also optimized data fetching for both Inbox and Analytics to reduce overall load times. On the feature side, I built the Campaign Filter in the Inbox and added visual campaign badges to email lists for better clarity. I also cleaned up the UI by limiting status filters to the Sent view so it’s less cluttered. In terms of bug fixes, I resolved a critical crash in the email detail view, fixed an authentication issue in the AI Lead Scraper, and corrected the AI logic so that it properly requests missing industry information when required. I supported team learning by conducting the AI for Everyone (Andrew Ng) quizzes for Harish in Weeks 3 and 4. I also collaborated with Yogeesh to help with the preparation of the BRD and PSD documentation.
Status New
Priority *Low Normal High Immediate
Assignee Madhu BabuVijay Chandra
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