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Smarter Shopping, Better Business – An AI-Powered E-Commerce Solution
Project Overview: I built a client-centric AI-powered e-commerce platform that transforms how people shop and how businesses manage their stores.
The Problem: Traditional e-commerce relies on rigid keyword search and manual merchant tools. This leaves customers frustrated and small businesses struggling to compete.
AI Features: Shoppers enjoy LLM conversational search and visual image search. Merchants get demand forecasting, return risk prediction, and an AI compliance bot for instant coaching.
UI Achievement: I designed the complete UI/UX in React.js, which was specifically praised by external examiners for its modern, aesthetic, and intuitive design.
Tech Stack: Built with React.js, Node.js, Python microservices, and MongoDB. 72/72 tests passed with sub-500ms response times.
Client-Centric: This is a business-ready tool designed to help merchants grow and customers shop with confidence.
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Designed a sleek AI automation platform dashboard with a modern dark UI, intuitive data visualization, workflow tracking, and automation insights.
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The workflow tracking feed and data visualization metrics look incredibly clean, Pranto. Did you build custom SVG charts in Next.js or use a library like Recharts for those smooth area graphs?
SpaceGate: SaaS Platform for Centralized Coworking Space Booking
Project Overview & Market Positioning
SpaceGate is a SaaS platform built to solve a key fragmentation problem in the coworking industry. Rather than users searching across dozens of individual coworking sites, SpaceGate acts as a centralized marketplace, onboarding coworking space providers onto a single subscription-based platform where users can discover, compare in real time, and book the space that fits their needs in just a few clicks.
Development Approach & Architecture
To support a scalable, multi-tenant SaaS model, I designed a mobile-first architecture paired with a high-performance backend. Flutter powers a fluid, native mobile experience across iOS and Android, giving both space providers and end users a consistent interface. The backend runs on FastAPI, selected for its speed and its ability to handle real-time availability data across multiple coworking partners simultaneously — a core requirement for a multi-vendor SaaS product.
The platform's key differentiator is its built-in AI layer via MCP (Model Context Protocol): an agent that understands user requirements, intelligently compares listed spaces across the marketplace, recommends the best-fit options, and generates a direct link to confirm the booking — reducing friction between discovery and conversion.
Technical Stack
Mobile Application: Flutter (cross-platform iOS/Android UI)
Backend Infrastructure: FastAPI (high-performance Python API, multi-tenant ready)
Artificial Intelligence: MCP integration (AI agent for comparison and recommendation)
Business Model: SaaS marketplace connecting coworking providers with end users
Key Platform Highlights
Marketplace Centralization: Aggregates multiple coworking providers into one SaaS platform, replacing scattered, single-provider booking flows.
Real-Time Comparison: Live availability and pricing across all listed spaces.
AI-Powered Agent (MCP): Understands client needs, compares options across providers, and delivers a direct booking link.
Scalable Multi-Vendor Architecture: Built to onboard new coworking partners and scale across cities/regions without re-engineering the core system.
Frictionless Booking Flow: From search to comparison to confirmation, minimal steps for the end user.
View the Project
Status: Currently in development (not yet published on app stores).
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