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NODE-JS Project

AI Based Photography Portfolio Final Year Project Source Code

Get runnable AI Based Photography Portfolio Final Year Project Source Code with database files, project setup instructions, live demo options and installation support. This project resource helps students understand the implementation, modules, workflow and technical architecture of a complete NODE-JS project.

What's Included in Your Download

  • Complete Source Code

    Runnable project code with frontend & backend.

  • Database Files

    SQL database file and required resources.

  • Setup Instructions

    Step-by-step README and project setup guide.

  • Configuration Files

    All configuration files and dependencies included.

  • Module Explanation

    Understand key modules and project workflow.

  • Setup & Demo Support

    Installation help and live demo where available.

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01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
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02 Code + Setup Support

₹248

One-time Payment

  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

AI Based Photography Portfolio is a complete MERN Stack photography studio management and portfolio platform combining a professional public photography website, online photography-session booking, client management, quotations, invoices, manual payment tracking, private galleries, photo proofing, portfolio management, CMS functionality, analytics, and optional OpenAI-powered tools.

The platform is designed to help a photography business manage its complete workflow from marketing and booking to billing and final photo delivery. Visitors can browse the studio portfolio, services, blog, FAQs, before/after work, videos and other media, while registered clients can manage bookings, quotations, invoices, payments, private galleries, photo selections, favourites, album drafts, AI assistance, enquiries, and notifications.

A major part of the system is its private client gallery and photo-proofing workflow. Administrators can create private albums, assign clients, upload photographs, optionally protect galleries with passwords, and allow clients to select, reject, favourite, or comment on photographs before submitting their final selection.

The project also includes optional OpenAI-powered tools for conversational assistance, photography preparation checklists, photography package recommendations, natural-language portfolio search, and Admin-side image-analysis assistance. OpenAI is the only documented external API and the main platform can operate without it.

This project is suitable for B.Tech, M.Tech, BCA, MCA, BE, ME, BSc, MSc, Computer Science, IT, Artificial Intelligence, Web Development, Photography, and MERN Stack students searching for a practical final year project, major project, minor project, source code, and project report related to photography portfolio management, studio booking, client galleries, photo proofing, invoicing, AI assistance, and digital photography-business management.

Project Features and Functionality