FastAPI Gemini Vision API

@jignesh06

Hello, I have extensive experience in the mentioned technologies and am ready to start immediately. Let’s connect via chat to discuss the project requirements further. Thank you, Jignesh

@NehalSK

Hello, I can build this image processing backend for you using FastAPI and Supabase. My plan is to use FastAPI for the REST endpoint to handle multipart uploads with strict Pydantic validation. I will integrate the Supabase Python SDK for file storage and use the Google Generative AI library to process images and return structured JSON. The service will include token-based middleware for authentication and comprehensive error handling for the API hand off. I will provide a clear README and a Postman collection to verify the happy path. Please reach out if you would like to discuss the specific JSON structure or the Supabase bucket configuration. Excited to hear from you, Nehal

@burzhuy

As an experienced software engineer with two decades in the tech industry, my understanding of and experience with Python, FastAPI and Node.js place me in an excellent position to complete this project. I specialize in building effective yet lightweight backend systems, similar to what you've outlined for your image upload project. Having recently worked on a similar project using FastAPI for a client's video processing backend, I am confident that I can deliver on your list of requirements. From setting up the REST endpoint for image uploads to seamless handling of files throughout the process, parsing JSON responses from Gemini Vision, enforcing tight validation checks, employing simple user authentication using tokens - all facets of your project shall be well attended to. Aside from my technical capability, I pride myself on delivering clean and concise code that is well-documented and easy to understand. I will provide you with a comprehensive README or runable Docker-Compose-compliant repository as requested, as well as any necessary environment variables for Gemini credentials. My previous clients have also lauded my communication and proactive troubleshooting skills that should ensure smooth sailing throughout the development journey. Overall, I believe my extensive expertise aligned with your needs makes me a great fit for this project.

@DigitalNightOwl8

Hey , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Node.js, Python, Gemini, REST API, FastAPI, JSON, API Development and Docker. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. If you have any questions, please let us know

@rakam26

Hello Just read your post and it seems you are looking for a backend developer skilled in building REST APIs for image uploads, integrating Google Gemini Vision, and returning clean, structured JSON responses. With my years of extensive experience and exceptional expertise in FastAPI/Express development, async image processing, cloud storage integration(Suppabase), API validation, and secure token-based authentication, I am 100% confident that I can deliver a lightweight, reliable backend with seamless Gemini Vision integration in the shortest possible time. Let's connect and see how great value I can add to your business. Best Regards Raka

@WiredAI

I can deliver this cleanly with FastAPI + Supabase + Gemini Vision, production-ready and well-documented. I’ll build a secure multipart REST endpoint, handle Supabase uploads, pass images to Gemini Vision, normalize responses into predictable JSON, and add solid validation, auth, and error handling. You’ll get a Docker-ready repo, clear README with env vars, and a small Postman/test script for verification. I’m running this as WiredAI, with experience shipping lightweight AI backends that are easy to deploy and extend (including swapping vision providers later if needed). Ready to start immediately.

@fizaa170

I can build a clean FastAPI backend with a secure image upload endpoint (Supabase storage), seamless Gemini Vision integration, validated inputs, and tidy, predictable JSON responses. It’ll include token-based auth, solid error handling, Docker-ready setup, and a simple test collection for quick verification. Muzammil

@phpxpert89

Hello aadityad68, I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Python, Node.js, JSON, Docker, API Development, FastAPI, REST API, Gemini We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@ahtishamulhaque1

Hi I read your requirements carefully and this proposal is written by me not auto submitted. I can build a lightweight secure backend using FastAPI that accepts image uploads through Supabase validates file type and size and safely forwards the image to the Gemini Vision API. The service will be async fast and documented out of the box so it is easy for you or your team to extend later. I will parse the Gemini response into clean predictable JSON with clear keys and consistent structure while adding solid error handling proper status codes and helpful messages. Token based authentication will ensure only authorised users can access the upload endpoint and all credentials will be handled through environment variables. You will receive a small clean repo with Docker support a clear README and a simple test script or Postman collection to verify the happy path quickly. Would you like the JSON response optimised for a specific use case such as object detection text extraction or general vision understanding Ahtisham Malik

@salmanimran22

Hi, I had a look at your project and it makes sense. I can build a small backend where users upload an image through a secure endpoint, the file is handled via Supabase, sent to the Gemini Vision API, and returned as a clean, structured JSON response. I’ll add basic validation, proper error handling, and simple token-based auth so only authorized requests go through. I’m comfortable using FastAPI, but Express works too if you prefer. I’ll share a small repo with clear setup steps, Docker support, and a simple test collection. I can start right away and deliver this within a few days.

@hamza12ahmed

I can develop a lightweight FastAPI backend that allows clients to upload images and pass them to the Gemini Vision API. The solution will include endpoints for image uploads, processing with the Gemini Vision API, and returning results. The implementation will be secure, efficient, and easy to integrate.

@b101pk

Hello, I am a Full-Stack Developer with experience building robust backend services using Python/FastAPI and Node.js/Express. I can create your REST endpoint for image uploads using Supabase, seamlessly forward files to the Gemini Vision API, and return clean, well-structured JSON payloads. I will implement file validation, error handling, and token-based authentication to ensure the service is secure and reliable. The deliverable will include a small repo runnable with Docker-Compose or detailed instructions, plus a test script or Postman collection to verify the happy path. I can work within your maximum budget of ₹1,200 per hour and deliver a secure, well-documented solution efficiently. Looking forward to contributing to your project. Best regards, Adnan

@aaryanp28

Hello, I understand you need a lightweight backend service that accepts image uploads, forwards them to the Gemini Vision API, and returns a clean, structured JSON response. I can build this using FastAPI, with a secure REST endpoint that supports multipart image uploads, basic token-based authentication, file validation (type and size), and clear error handling. Uploaded files can be handled via Supabase, and the image will be passed seamlessly to Gemini with the response parsed into predictable JSON keys. You’ll receive a small, runnable repo with Docker support or a simple README, environment variable setup for Gemini credentials, and a test example (Postman or curl) showing the full flow. Estimated delivery: 2–3 days. Let me know if you’d like me to proceed.

@rivalarya

hi there, i have experience integrating gemini API to my personal projects. one of my AI Projects are rivalistic.com. feel free to discuss!

@mdrokon1

Hi, I’m Md. Rokon, a backend-focused software engineer with 3+ years of experience building production-ready APIs, AI-integrated services, and containerized systems. This project is a very natural fit for my background. I’d implement this using FastAPI (my primary stack) for its async performance, clean request validation, and auto-generated docs. I’ve built similar pipelines involving LLM/Vision APIs, structured JSON outputs, and secure upload flows. How I’d approach your requirements: Multipart image upload endpoint with Supabase storage integration Strict validation (MIME type, size, dimensions if needed) Async handoff to Gemini Vision API Response normalization into clean, predictable JSON schemas Token-based authentication (simple, secure, extensible) Clear error handling with proper HTTP status codes Environment-based config for Gemini credentials Deliverables: Clean FastAPI repo Dockerfile + docker-compose README with setup & env vars Sample Postman collection or test script for happy-path validation I’ve worked extensively with FastAPI, Docker, AI/LLM integrations, and cloud-based pipelines, and I focus on clarity, safety, and maintainability—not overengineering. Happy to discuss future extensibility (alternate vision providers, retries, rate limits, etc.) once the core is stable. Looking forward to collaborating. — Md. Rokon

@guptagagan824

I am a keen and passionate technologist on a mission to empower businesses by unlocking insights from data using cutting-edge AI/ML methodologies. With a rich blend of engineering, research, and product experience, I thrive at the intersection of innovation and impact—transforming raw data into meaningful strategies that drive growth. Core Expertise: - Languages & Frameworks | Python (data science, data engineering, web development, Generative AI) - Machine Learning | Supervised, Unsupervised & Semi-Supervised learning - Deep Learning Architectures | CNN, RNN, LSTM, ANN - Computer Vision | Object Detection, Image Segmentation, Preprocessing, Activity Recognition - Natural Language Processing (NLP) | Tokenization, Tf-IDF, Count Vectorizer, Word2Vec, Transformers - Generative AI + Agentic AI | Large Language Models (Text & MultiModal), RAG (Vanilla & Advanced), A2A, MCP - Time Series Forecasting | ARIMA, SARIMA, LNN - Big Data & Engineering | PySpark, Hadoop - Data/Text Preprocessing | Stemming, Lemmatization, Feature Engineering/Selection, Data Wrangling - Visualization & BI Tools | Matplotlib, Seaborn, Plotly, MS Power BI - Cloud Ecosystems | Microsoft Azure, Google Cloud Platform - Databases | SQL, NoSQL Let’s connect and collaborate to build intelligent solutions that make a difference!

@hariomp37

I can build a lightweight, secure backend that accepts image uploads, routes them through Google Gemini Vision, and returns clean, predictable JSON responses. I’ll use FastAPI (Python) by default for its async performance and built-in documentation, with full support for Supabase storage, multipart image uploads, and token-based authentication. What I’ll deliver: REST endpoint for image uploads (multipart/form-data) Supabase integration for secure file handling Seamless Gemini Vision API integration Normalized, well-structured JSON output File validation (type, size, safety checks) Clear error handling with proper HTTP status codes Token-based auth to restrict access Auto-generated API docs (Swagger/OpenAPI) The system will be cleanly architected so alternative vision providers can be added later if needed. I focus on reliability, clarity, and production-ready code. Happy to discuss details and start immediately. Best regards

@hawreaziz

I have the technical expertise to design and implement secure, production-ready backend services using FastAPI or Express, Supabase, and Google’s Gemini Vision API. I am experienced in authenticated REST APIs, cloud-based file handling, third-party AI integrations, structured JSON responses, and robust validation and error handling. I can deliver a clean, well-documented solution suitable for deployment via Docker.