What's included

• Fully Functional Image Identification Web Application

  Description: A fully functional, production-ready web application built with Next.js, providing the core image identification functionality as agreed upon during the project scope definition. The application will be deployed to a client-specified hosting environment (e.g., Vercel, Netlify, AWS, Google Cloud Platform, or a client-provided server). The application will be integrated with the chosen AI API(s) (e.g., Gemini, OpenAI, Deepseek) for image processing and identification. Format: Deployed web application accessible via a unique URL. Source code repository (e.g., GitHub, GitLab, Bitbucket) containing the complete, well-documented codebase. Service Quantity: 1 deployed application, 1 source code repository. Revisions: This deliverable includes bug fixes and minor adjustments to functionality within the original scope for a period of 30 days after deployment. Major feature additions or changes to the core functionality are outside the scope of this deliverable and would require a separate agreement. Relevant Details: The application will include a user-friendly interface for uploading images, viewing identification results, and managing data (if applicable, based on project scope). The application will be responsive and accessible across different devices (desktops, tablets, mobile phones). Performance and security best practices will be followed during development. The client will have full ownership of the source code.

• Database Setup and Configuration

  Description: A fully configured and populated PostgreSQL database instance, designed to store image metadata, identification results, user data (if applicable), and any other relevant information as defined in the project scope. The database schema will be optimized for performance and scalability. This includes all necessary tables, indexes, and relationships. Format: Access credentials (username, password, host, port) to the live PostgreSQL database. Database schema documentation (e.g., an ER diagram, a data dictionary). (Optional, if requested) Scripts for database setup and initial data population. Service Quantity: 1 configured database instance, 1 set of access credentials, 1 set of database schema documentation. Revisions: Corrections to the database schema or configuration within the original scope for 30 days after delivery. This does not include schema changes to accommodate new features. Relevant Details: The database will be hosted either on the client's preferred cloud provider (e.g., AWS RDS, Google Cloud SQL) or on a client-provided server. The cost of hosting the database is the client's responsibility. Database backups will be configured according to the client's requirements (frequency, retention policy). The implementation of the backup system itself may be an additional service, depending on the hosting environment. Data security best practices will be followed.

• Comprehensive Documentation and Training

  Description: Complete documentation covering all aspects of the web application and its setup, along with a training session for the client's team. This documentation will be user friendly for the client. Format: Technical Documentation: A document (e.g., PDF, Markdown files in the repository) describing the application architecture, API integration details, database schema, setup instructions, and troubleshooting steps. User Manual: A document (e.g., PDF, online help system) explaining how to use the application, upload images, interpret results, and manage data (if applicable). Training Session: A live, remote training session (e.g., via video conference) of up to 2 hours, covering the user manual and answering any questions from the client's team. The session will be recorded and provided to the client. Service Quantity: 1 set of technical documentation, 1 user manual, 1 recorded training session. Revisions: Updates to the documentation to correct inaccuracies or clarify instructions for 30 days after delivery. This does not include rewriting documentation for new features. Relevant Details: The documentation will be written in clear, concise language, avoiding overly technical jargon where possible. The training session will be tailored to the specific needs and technical expertise of the client's team. The documentation will be delivered in a readily accessible format (e.g., PDF, online wiki).