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SimplyTranslate / SimplyLoc Junior Developer Implementation Brief Build a production-ready API that can be connected to ChatGPT for translation, certification, notarisation, apostille quotes, order creation, and order tracking. Prepared for Junior developer / implementation contractor Business SimplyTranslate / SimplyLoc Primary goal Expose core business workflows as API actions callable from ChatGPT Version v1.0 - implementation starter What success looks like A customer can describe their document in natural language inside ChatGPT, receive a quote in ZAR, place an order, and later check order status - all by calling your backend API. 1. Project summary Build the first production version of a backend service for SimplyTranslate that supports the following user journey: get a quote, create an order, upload documents later, and check order status. The initial scope should be API-first. Do not spend time building a public web frontend unless it is required for admin/testing. Business assumptions • The main service categories are translation, certified translation, sworn translation, notarisation, and apostille-related services. • Pricing is returned in South African rand (ZAR). • The first ChatGPT integration target is a Custom GPT or ChatGPT app using REST actions, not a generic website chatbot. • Operations can be partially manual behind the scenes at launch. The API must be reliable even if fulfilment is manual. 2. Scope In scope for v1 • Backend API in FastAPI. • OpenAPI schema kept accurate and exportable. • Endpoints for supported languages, quote generation, order creation, and order status lookup. • Simple persistence layer using PostgreSQL or Supabase Postgres. • Basic admin-safe data model for quotes and orders. • Environment-based configuration. • Authentication for protected endpoints where needed. • Deployment to a small always-on cloud instance. • Logging, validation, and error handling. Out of scope for v1 • Complex dashboard UI. • Automated translation fulfilment pipeline. • Complex CRM automation. • Advanced billing/subscription logic. • Multi-tenant architecture. 3. Recommended stack Layer Recommendation Notes API framework FastAPI Use Pydantic models, autogenerated docs, strong validation, and async-ready structure. Database PostgreSQL Use Supabase Postgres or managed Postgres. Avoid in-memory storage outside local dev. ORM / SQL SQLAlchemy or SQLModel Keep schema explicit; Alembic migrations recommended. Auth API key initially Enough for ChatGPT action access and internal admin endpoints at first. Storage Supabase Storage or S3 Needed once document uploads are added. Hosting Hetzner / Render / Railway Choose the simplest always-on option with HTTPS and environment variables. Process manager Docker + Uvicorn/Gunicorn Use containerized deployment to reduce environment drift. 4. User journeys to support # Journey System behavior Result 1 Get quote User provides source language, target language, document type, urgency, certification type, and either word count or page count. System returns quote_id, price_zar, turnaround, notes. 2 Create order User accepts quote and provides customer name, email, optional phone. System creates order linked to quote and returns order_id. 3 Check status User supplies order ID. System returns current status and estimated delivery. 4 List languages System returns supported language pairs or languages. Useful for validation and UI assistance. 5. API specification Required endpoints Method Path Purpose Auth GET /languages Return supported languages. Public or API key POST /quote Create and return a quote. Public or API key POST /orders Create order from quote. Public or API key GET /orders/{order_id} Get order status. API key or secure token GET /health Health check for uptime monitoring. Public Request / response rules • Use JSON for all request and response bodies except future upload endpoints. • Return 4xx errors for bad input and 5xx errors only for true server failures. • Every response should be deterministic and easy for ChatGPT to parse. • Use machine-friendly field names such as source_language, target_language, certification_type, price_zar. • Keep operationId values stable because ChatGPT actions rely on them. 6. Data model Minimum tables Table Key fields Description Required Notes quotes id, source_language, target_language, document_type, word_count, page_count, service_level, certification_type, price_zar Stores generated quotes. Yes Persist for audit and reuse. orders id, quote_id, customer_name, email, phone, status, estimated_delivery Customer order linked to a quote. Yes Use status enum. audit_logs id, event_type, payload, created_at Basic observability and debugging. Nice to have Helpful for support. Suggested status values • pending - order created but not yet picked up internally • in_review - team reviewing files or requirements • in_progress - translation/work is underway • awaiting_customer - customer action required • completed - delivered • cancelled - closed without completion 7. Pricing logic Implement pricing in a dedicated service module, not inline inside route handlers. The initial pricing engine can be rule-based and loaded from config or a database later. Rule Example Implementation note Base word/page rate R1.50 per word or R180 per page Use either word_count or page_count; require at least one. Document type multiplier Contracts higher than certificates Store as mapping, e.g. contract = 1.2. Urgency multiplier same_day more expensive Enum-based multiplier. Certification addon apostille adds fixed fee Fixed add-on amount. Minimum charge e.g. R350 Apply after base price calculation. Developer note The exact pricing numbers can stay configurable. The important part is to design the code so business rules can be changed without rewriting the API. 8. Security and validation • Validate all required fields using Pydantic. • Reject unsupported languages and identical source/target combinations. • Do not expose internal stack traces in production responses. • Protect any admin or internal routes with API key or proper auth. • Store secrets in environment variables only. • Enable HTTPS in production. • Do not log sensitive customer documents or raw personal data unnecessarily. 9. ChatGPT integration requirements The API must be designed so it can be connected to ChatGPT through a Custom GPT action or a future ChatGPT app. This means the OpenAPI schema must be kept accurate, clear, and stable. Requirements for ChatGPT actions • Each endpoint should have a clear summary and operationId. • Parameter names must be descriptive and consistent. • Schemas must use enums where business choices are fixed. • Responses should be concise and structured; avoid mixing narrative text with key fields. • The backend URL and OpenAPI spec must be reachable from the public internet if used directly by ChatGPT. Recommended action names • getSupportedLanguages • getTranslationQuote • createOrder • getOrderStatus 10. Deployment requirements Requirement Expected implementation Containerization Provide Dockerfile and docker-compose or simple run instructions. Environment config Use .[login to view URL] with all required variables. Database migrations Use Alembic or equivalent migration flow. HTTPS Use platform SSL or reverse proxy. Monitoring At minimum: health endpoint, error logs, restart visibility. Backups Enable managed DB backups if using a managed database. 11. Deliverables expected from the junior developer • FastAPI project with clean folder structure. • Database models and migrations. • Working endpoints matching the agreed OpenAPI schema. • Validation and error handling. • Local development setup instructions. • Production deployment instructions. • Postman collection or curl examples. • Exported OpenAPI schema file. • Basic test coverage for quote creation and order creation. Suggested folder structure app/ [login to view URL] api/ [login to view URL] [login to view URL] [login to view URL] core/ [login to view URL] [login to view URL] models/ [login to view URL] [login to view URL] schemas/ [login to view URL] [login to view URL] services/ [login to view URL] [login to view URL] db/ [login to view URL] [login to view URL] alembic/ tests/ Dockerfile [login to view URL] [login to view URL] .[login to view URL] 12. Acceptance criteria Item Must pass Notes POST /quote works Valid request returns quote_id, price_zar, turnaround Rejects invalid language or missing counts. POST /orders works Creates order linked to quote Returns order_id and status. GET /orders/{id} works Returns status for existing order 404 for unknown ID. OpenAPI spec is correct Imports cleanly into ChatGPT actions tooling Operation IDs are stable. Deployment is persistent App stays online after restart Health endpoint available. 13. Phase 2 roadmap (not required for v1) • Document upload endpoint and cloud storage. • Payment link generation. • Email notifications. • Admin dashboard. • CRM integration. • More granular pricing tables and service bundles. 14. Final instruction to the developer Prioritize correctness, clean structure, and deployability over visual polish. Build the API as if ChatGPT is the frontend. Keep routes small, business logic separate, configuration clean, and documentation accurate. The v1 goal is not to automate the entire business; it is to expose the business's highest-value workflows in a reliable API.
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I've built FastAPI-based backends integrated with ChatGPT Custom GPT actions before, so I know exactly what SimplyTranslate needs — a clean OpenAPI-spec'd REST API that ChatGPT can call to quote, create orders, and track status in ZAR. My approach: stand up FastAPI with Pydantic models for your service categories (translation, certified, sworn, notarisation, apostille), implement a pricing engine that returns ZAR quotes based on language pair, word count, and service type, then expose order creation and tracking endpoints with proper OpenAPI schemas so the Custom GPT consumes them natively. I'll ensure the API is production-solid even while fulfilment stays manual behind the scenes. I can start immediately and have deep experience with exactly this stack.
$30 USD 1 päivässä
4,5
4,5
29 freelancerit tarjoavat keskimäärin $144 USD tätä projektia

Hi, I’m available to start right away. I have strong experience with modern web technologies like FastAPI, REST API development, OpenAPI schema design, PostgreSQL, Supabase, SQLAlchemy, Alembic migrations, Docker, API authentication, and production-ready backend integration for ChatGPT actions, You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan
$140 USD 1 päivässä
5,2
5,2

Projects like this don’t wait around, the faster it’s built right, the faster it pays off. That’s why I’m jumping in now. SimplyTranslate requires a robust backend API that seamlessly connects with ChatGPT to handle quotes, orders, and status tracking across nuanced language and certification services. This is not just about deploying an API; it’s about delivering a scalable, precise, and secure foundation that empowers natural language interactions with complex workflows. At DigitaSyndicate, we’re a proud UK partner trusted for swift, accountable delivery. Recently, we completed a similar FastAPI-based translation quote system with PostgreSQL for a London legal tech client, achieving fully operational deployment within four weeks. Our disciplined approach ensures rigorous validation and clean architecture, ideal for your environment and integration needs. Have you considered how the system’s rule-based pricing module will adapt to evolving service tiers without downtime? This is the moment to partner with an agency that delivers at the highest level — connect now. Casper M. | DigitaSyndicate
$200 USD 14 päivässä
5,4
5,4

Hello, I’ve gone through your SimplyTranslate brief and noted the emphasis on an API‑first FastAPI build that reliably serves ChatGPT actions for quoting, ordering, and status tracking. I’ve delivered similar translation‑workflow backends, including a FastAPI service for a language services firm that produced stable OpenAPI specs and a pricing engine that reduced manual quoting time by 40%. The real challenge here is ensuring the API remains deterministic and ChatGPT‑friendly: operationIds must be stable, schemas must be clean, and pricing logic must be modular so business rules can change without touching route handlers. I’ll structure the project exactly as outlined: implement FastAPI with SQLAlchemy models, build a dedicated pricing module, apply Pydantic validation, and provide clean endpoints for quotes, orders, and status checks. I’ll containerize everything via Docker, include Alembic migrations, and ensure the OpenAPI spec is export‑ready. Before starting, I need clarity on your preferred hosting choice and whether Supabase Postgres is confirmed. I can deliver a production‑ready v1 within the initial timeline. Best regards, John allen.
$155 USD 1 päivässä
4,5
4,5

With my vast experience in building end-to-end web and software solutions tailored for various businesses, I believe I am the right candidate to transform SimplyTranslate's vision into reality. Having proficiently created APIs using frameworks such as Laravel, Node.js, and FastAPI, I can expertly develop the backend architecture in FastAPI which will be secure, scalable and able to handle the ChatGPT app integration. Furthermore, my expertise in AWS and Google Cloud will come handy during deployment to a small always-on cloud instance for your API and ensuring high uptime availability. Employing Docker alongside proven process managers like Uvicorn/Gunicorn will not only make your service robust but also reduce environmental drift. My commitment to consistent growth has made me eager to prove myself capable of delivering complex functions should you choose to expand the project beyond its initial scope.
$80 USD 1 päivässä
4,0
4,0

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in REST API and API Development. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer
$120 USD 3 päivässä
2,6
2,6

Hello, I am excited about the opportunity to build the production-ready FastAPI backend for SimplyTranslate / SimplyLoc that integrates seamlessly with ChatGPT. I understand the focus is on creating a reliable API enabling customers to get translation quotes in ZAR, place orders, and track status through natural language interaction with ChatGPT. I will design the API endpoints with clear OpenAPI specs, leverage PostgreSQL for persistence, and implement authentication and logging as requested. I will prioritize clean code structure, validation using Pydantic, and ensure stable operationIds for smooth ChatGPT integration. The deployment will be containerized and easily maintainable with environment-based configuration. My approach supports your timeline and version 1 scope, focusing on core business workflows without extra UI overhead. I am confident in delivering a transparent, test-covered, and documented API ready for your next phases. What specific priorities or constraints should I be aware of in handling document uploads once phase 2 begins? Best regards,
$180 USD 2 päivässä
2,6
2,6

Hello, I’d be glad to help build your project by developing a clean, production-ready API that integrates smoothly with ChatGPT workflows. I’m a full-stack developer experienced in **API development, REST APIs, FastAPI, PostgreSQL, and backend architecture**, with a strong focus on building scalable, structured services. One of the key challenges in projects like this is ensuring **the API is designed correctly for ChatGPT actions, with stable schemas, clean operation flows, and reliable state handling for quotes and orders without breaking future extensibility**. My approach is to structure the API around clear modules (quotes, orders, languages), implement validation with Pydantic, separate pricing logic into services, and ensure the OpenAPI spec is clean and ready for ChatGPT integration from day one . My goal is to deliver a **stable, well-documented API** that supports quoting, order creation, and tracking with clean deployment and easy maintenance. A couple of quick questions: • Do you prefer Supabase or a standalone PostgreSQL setup for v1 deployment? • Should authentication be API key only for now, or include token-based access for order tracking? I’m interested in a long-term collaboration and help scale your projects reliably. Best regards, Carlos
$30 USD 7 päivässä
1,2
1,2

Hi there, This is a well-structured and high-potential API project, and I have strong experience building production-ready backend systems with FastAPI, PostgreSQL, and scalable architectures. I’ve reviewed your requirements and can deliver a clean, reliable API designed specifically for ChatGPT integration with stable OpenAPI actions. Approach: I will build the backend using FastAPI with Pydantic models, ensuring strong validation and clear schemas. I’ll design modular routes for quotes, orders, and languages, with a dedicated pricing service for flexible rule-based calculations. PostgreSQL (Supabase or managed DB) will handle persistence with proper migrations (Alembic). I’ll ensure consistent response structures, stable operationIds, and ChatGPT-friendly schemas. Security (API keys), logging, and error handling will be implemented cleanly, with Docker-based deployment for consistency. Deployment: I will provide a fully containerized setup (Docker), environment configs, migrations, and deploy to a reliable cloud (Render/Railway/Hetzner) with HTTPS and health monitoring. Timeline: Milestone-based delivery (setup → core APIs → testing → deployment). Clarification Questions: • Do you have predefined pricing rules or should I configure defaults? • Preferred hosting (Render, Railway, or Hetzner)? • Should audit logs be included in v1 or later phase? I am ready to start immediately and deliver a clean, production-ready API. Best Regards, JP
$140 USD 7 päivässä
1,0
1,0

Do you want this API designed strictly for ChatGPT actions from day one or also usable for future web/mobile clients without refactoring? I understand you need a production ready FastAPI backend exposing clean endpoints for quotes, orders, and tracking, with strong OpenAPI compliance so ChatGPT can act as the frontend. I will structure this with modular services, configurable pricing engine, PostgreSQL schema with migrations, and secure API key auth. Focus will be clean architecture, deterministic responses, and smooth deployment with Docker. I will also ensure schema stability for ChatGPT integration.
$180 USD 12 päivässä
0,4
0,4

Hello, I'd be excited to help you build a production-ready FastAPI backend that supports the full SimplyTranslate and SimplyLoc workflow from quoting to order tracking. I have strong experience designing clean API architectures with Python, FastAPI, PostgreSQL, and scalable deployment, which aligns directly with your v1 requirements. I can implement the endpoints for quotes, orders, languages, and health checks with strict validation, stable operationIds, and a clean OpenAPI schema optimized for ChatGPT actions. Your focus on reliability, pricing logic separation, and simple but safe persistence fits well with the patterns I normally use in production services. I will build the backend so ChatGPT can guide customers through quote generation, order creation, and status lookup smoothly and consistently. Could you share whether you prefer Supabase Postgres or a managed Postgres instance for deployment? Best regards!
$155 USD 3 päivässä
0,0
0,0

Hello there, I understand that SimplyTranslate / SimplyLoc is seeking a junior developer to build a production-ready API that can be integrated with ChatGPT for translation services, certification, notarisation, apostille quotes, order creation, and order tracking. Proposed Solution: I propose to build a backend API using FastAPI that will support user journeys such as getting a quote, creating an order, uploading documents, and checking order status. The API will be designed to be reliable and scalable for future integrations. Key Deliverables: 1. Backend API in FastAPI with accurate OpenAPI schema. 2. Endpoints for supported languages, quote generation, order creation, and order status lookup. 3. Simple persistence layer using PostgreSQL or Supabase Postgres. 4. Authentication, logging, validation, and error handling. Portfolio & Skills: I bring expertise in API Development, REST API, and ensuring quality and reliability in backend systems. I will share my portfolio with you in the DM. Call to Action: I'd love to connect for a quick chat to discuss your project in more detail. Best regards, Minhal
$140 USD 4 päivässä
0,0
0,0

Hello, I can develop a production-ready FastAPI backend for SimplyTranslate / SimplyLoc, supporting quote generation, order creation, and order status checks. The API will follow a clear OpenAPI schema with stable operationIds, use PostgreSQL for persistence, and include validation, authentication, and logging. Pricing logic will be modular, and endpoints will be ChatGPT-ready. Deliverables include Dockerized deployment, database migrations, local and production setup instructions, exported OpenAPI spec, Postman/curl examples, and basic test coverage. The design prioritizes reliability, clean code structure, and extensibility for future document uploads or payment integration. Clarification questions: Should the API initially handle multiple service categories in one call, or one category per request? Do you require API key auth for all endpoints, or only for order creation and status? Thanks, Asif
$250 USD 3 päivässä
0,0
0,0

Hi, FastAPI + production-ready APIs is exactly my lane—I’ll turn this into a clean, ChatGPT-ready backend with stable OpenAPI and scalable structure. I’ll build quote → order → status flow with PostgreSQL, proper validation, pricing service, and Dockerized deployment. You’ll get clean code, docs, OpenAPI export, tests, and a simple deploy guide (Render/Railway/Hetzner). Quick question: do you want pricing config via env first or DB-driven from day one? Thanks
$140 USD 7 päivässä
0,0
0,0

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided
$50 USD 1 päivässä
0,0
0,0

Senior full-stack developer here. I've built production FastAPI + PostgreSQL APIs with OpenAPI/ChatGPT action integration before — this is a clean, well-scoped project and I can deliver it fast. What you'll get: - All 5 endpoints matching your spec (languages, quote, order, order status, health) - Configurable pricing engine with your business rules - PostgreSQL with Alembic migrations - Clean OpenAPI schema that imports directly into ChatGPT Custom GPT actions - Docker deployment ready for your hosting - Tests, Postman collection, and setup docs I can have v1 live within 3 days of project start. Happy to discuss any questions about the approach.
$220 USD 3 päivässä
0,0
0,0

Hi, I can help build this exactly as an API-first service for ChatGPT actions, with FastAPI + PostgreSQL, clean pricing logic, stable OpenAPI schemas, and a structure that is easy to extend later. What I like here is that the scope is already well thought out — the real job is to turn it into a reliable v1 without overbuilding. I can implement the core flows for languages, quote generation, order creation, and order status, keep the pricing engine configurable, and make sure the API responses stay deterministic and clean for Custom GPT / ChatGPT app integration. I’d also set it up with Docker, migrations, env-based config, tests, deployment notes, and exported OpenAPI so it is ready to run and maintain from day one. Best regards. Ankit.
$150 USD 1 päivässä
0,0
0,0

Build a FastAPI backend with OpenAPI schema for ChatGPT actions that handles quote generation, order creation, and order status with PostgreSQL and clean pricing logic. I recently built a FastAPI API-first system where ChatGPT actions called endpoints for quote creation and order tracking, with stable operationId mapping and structured JSON responses, which eliminated parsing errors and made the workflow reliable for real user inputs. I would structure pricing in a dedicated service module and ensure the OpenAPI schema stays stable for ChatGPT integration, while validating inputs like source_language and certification_type to prevent invalid flows before hitting the database. Happy to review your current approach and align it with ChatGPT actions requirements. Do you already have a defined OpenAPI schema for operationId naming, or should I design it to match your intended Custom GPT actions from scratch?
$140 USD 7 päivässä
0,0
0,0

Hello, I hope you are doing well. I have reviewed your brief and understand the need for a clean FastAPI backend designed for ChatGPT integration with reliable quote and order workflows. My approach is to build a structured API with clear separation between routes, services, and models to ensure scalability and maintainability. I will implement all endpoints with strong validation, deterministic responses, and a configurable pricing module. PostgreSQL models with migrations will be set up, along with secure API key access. The OpenAPI schema will be accurate and stable for seamless ChatGPT actions. Deployment will be containerized with proper environment configuration and health monitoring. You will receive clean code, documentation, and test coverage for key flows. I ensure real time communication based on your schedule, with daily real time progress sharing. High level coding guarantees full satisfaction. I also support long term collaboration after completion. My focus is to deliver a reliable API ready for real world usage. Thank you for your time and consideration. Best regards.
$150 USD 3 päivässä
0,0
0,0

Hi, I can help with this project and can start right away. Let me know if you want to discuss. Dan
$118 USD 7 päivässä
0,0
0,0

I can build a scalable FastAPI backend with clean architecture, accurate pricing logic, and seamless ChatGPT API integration. Includes quote generation, order creation, and tracking with secure, production-ready deployment. Focused on reliability, validation, and maintainable code for long-term scalability.
$180 USD 8 päivässä
0,0
0,0

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