Apply.ai (http://Apply.ai) pulls from GitHub, LinkedIn, resume files, and custom sources once. It turns them into one portfolio, then lets you clone and tailor it per job inside a focused workspace without re-uploading your CV 100 times.
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This is a website for workout Bench producing company to show case their products and receive an order CMS and SEO included
took a standard MERN stack food delivery platform and transformed it into an intelligent ecosystem by integrating an Action-Oriented AI Agent. This project bridges the gap between traditional e-commerce and the future of Agentic AI.
Key Innovations:
Dietary Personalization: The AI Agent analyzes user health data and dietary restrictions to provide custom meal recommendations.
Autonomous Execution: Unlike basic chatbots, this agent can execute orders and manage the checkout flow through natural language processing.
Full-stack Architecture: Built with the MERN stack (MongoDB, Express, React, Node.js), featuring real-time data sync and secure user authentication.
Intelligent Logic: Leveraged advanced LLM APIs to create a conversational interface that understands user intent and interacts directly with the database.
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I designed and developed a web-based Conflict Early Warning and Management Control Room that helps organizations collect, manage and analyze conflict-related information. The system includes an administrative dashboard, incident reporting, interactive geographic mapping, report management, officer/user management, authentication and role-based access, document handling, fact-checking workflows and data visualization. Built with React, TypeScript and Supabase.