Budget: 2500 UAH Deadline: 1 day
Good day
I have 10 years of experience in development. I am ready to take on the implementation and discuss everything in more detail.
Feel free to write, I will be happy to collaborate.
Sincerely, Oleksiy.
Budget: 777 UAH Deadline: 7 days
Good afternoon, I am ready to create the backend - cloud firebase, or for example, a custom Python solution and deploy it on a VPS server. I have extensive experience with in-app purchases. I will provide free consultation on all questions.
Budget: 27000 UAH Deadline: 7 days
Good day!
You are creating an analog of FaceApp (hair generation, age/gender change, backgrounds) and are looking for an engineer to handle the backend with queues, deploy ML models, and properly connect the API with the iOS application.
I am a Senior iOS developer with a strong focus on Generative AI and Computer Vision. Recently, I built a complex pipeline for photo retouching and styling: I deployed Flux 2, integrated SDXL + ControlNet + IP-Adapter (for precise preservation of face/object shape during style transfer), as well as segmentation models (SAM, BiRefNet, Florence-2). I write all the backend, API, GPU instance management (VastAI), and queues from scratch (in Python/FastAPI).
I want to immediately warn you against a mistake: directly using Web View to bypass the 30% Apple commission for digital features (AI filters) carries a 99% chance of receiving a permanent ban (rejection) during review. Apple checks this both automatically and manually. However, there are safe architectural patterns (for example, purchasing a subscription on an external landing page before downloading - we can discuss the details in correspondence).
I suggest we have a call or discuss the details in writing - I will explain how to better structure GPU queues (to avoid overpaying for servers), and we will agree on the architecture of the paywall. Work through Safe.
Budget: 27000 UAH Deadline: 90 days
I would set the budget for the first working stage at 1,200,000 UAH and the timeline at 90 days. The exact price depends on whether we create our own models, use ready-made AI APIs, or build a hybrid. There is a nuance regarding payments - bypassing the 30% Apple fee through WebView for digital subscriptions may lead to the rejection of the app, so we need to choose a legally and technically sustainable scheme =/
In terms of architecture, I see this as a separate backend for image processing, a task queue, storage of originals and results with deletion policies, an API for iOS, quality monitoring of generations, limits, subscriptions, and abuse protection. For a level like FaceApp, not only the models are critical, but also speed, stability, privacy, and repeatable quality of results. Note that without a prototype on 2-3 key filters, the quality assessment will be too theoretical, and theory in such projects sometimes beautifully drowns in pixels.
Questions for accurate assessment
> What 2-3 AI functions should be included in the first release - age, gender, smile, background, hairstyles, makeup
> Do you expect proprietary models with training or are third-party services acceptable at the start if the quality is sufficient?
Similar cases from Ingello
> https://business.ingello.com/vorfahr - AI and product automation, close in complexity to backend logic and integrations
> https://business.ingello.com/fractal - agency and AI architecture for complex processes
> https://business.ingello.com/prime-eva - e-commerce and subscription business logic, indirectly useful for payments and product model
Main landing page for Freelancehunt
> https://systems-fl.ingello.com
Budget: 14000 UAH Deadline: 1 day
Hello!
Your project requires not just AI integration, but the construction of a scalable infrastructure for high-performance and quality image processing. These are precisely the tasks that our team solves most effectively.
At Mobiwolf, we have been developing mobile solutions and backend systems for over 15 years, including AI integrations, image processing, subscription models, and high-load APIs.
For such a project, we offer:
* a scalable backend (Node.js/NestJS or Python/FastAPI);
* integration of modern AI models (Stable Diffusion, Flux, GAN, OpenAI, and other APIs) or our own ML solutions;
* an image processing queue (Redis/RabbitMQ + GPU workers) for stable performance;
* secure storage of photographs with privacy requirements in mind;
* a REST API for interaction with your frontend;
* integration of subscriptions and payments in accordance with App Store and Google Play requirements;
* assistance with product publication and further support.
Such projects require careful architecture design to ensure high-quality processing and the ability to scale further without reworking the system.
We would be happy to discuss your requirements, recommended technology stack, timelines, and propose an optimal project architecture.
Best regards,
Mobiwolf Team
https://mobiwolf.com/
Budget: 1234 UAH Deadline: 3 days
Hello!
I have the necessary experience.
Message me privately, I will be happy to help!
Budget: 27000 UAH Deadline: 30 days
I have experience in developing AI services, integrating neural network models, and building scalable backend solutions. I can implement an API for image processing, task queues, user data storage, AI filter integration, and prepare architecture designed for high load. I will also assist with integrating a subscription model and payments in accordance with platform requirements.
Budget: 27000 UAH Deadline: 70 days
Hello 👋
I specialize in backend and AI integrations — exactly your case. I have worked with image processing, task queues, and generative models (Stable Diffusion, GAN, third-party neural network APIs). I have also set up subscriptions through WebView to avoid giving a commission to Apple.
What I will do: backend for uploading and delivering photos, connecting AI effects (age, gender, hairstyles, makeup, backgrounds), processing queue with speed optimization, private storage of snapshots, payment system with subscription, and API for your frontend.
I maintain a quality level no worse than FaceApp — for me, a stable product is important, not just "to make it work somehow."
💲 Target $9,000 – $14,000, I will provide the exact figure after clarifying the number of filters in the MVP and whether there will be a custom ML model.
I will take care of the entire technical part — you won’t have to delve into the backend. Write to me 😎
Budget: 27000 UAH Deadline: 30 days
Hello!
My name is Alexey, and I represent the NC-1 team. We have carefully reviewed your project. We have deep expertise in developing mobile solutions (iOS/Android) and creating architectures for processing media content, which is a key factor for a product at the level of FaceApp.
Why our team is suitable for implementing your project:
Expertise in Mobile & Image Processing: We have worked with CameraX (Android) and modern frameworks SwiftUI/SwiftData (iOS), so we understand how to optimize the process of uploading and transferring images between the client and server. We know how to work with media streams without losing quality.
Backend & ML/CV Integration: We understand that FaceApp is not just a neural network but also a high-load backend. We have experience deploying and integrating Stable Diffusion models, GAN architectures, and other solutions for photo processing. We know how to build a processing queue (via RabbitMQ/Redis) so that the user does not wait an "eternity" but receives a quick response.
Infrastructure & Privacy: We understand the criticality of storing user photos. We implement secure storage (S3-compatible) while adhering to all privacy standards.
Subscription & Payments: We have experience integrating subscription systems, including In-App Purchases (RevenueCat), and implementing Web-View strategies for managing payments, which will allow you to optimize fees.
Our technical approach:
AI Layer: Selection and fine-tuning of models for your tasks (aging, gender change, makeup). We will assess the feasibility of using third-party APIs versus deploying our own models on GPU clusters.
Performance: Using Fastlane for build automation and Firebase for stability monitoring (Crashlytics).
Backend: Creating a scalable API (Node.js/Python) capable of processing a stream of tasks on GPU servers.
We understand the quality requirements of "no worse than FaceApp" and are ready to discuss the architecture (choosing between native GPU servers or cloud solutions).
Are you ready to discuss the project details in a technical call?
Best regards,
Alexey, NC-1 Engineering Group
Budget: 27000 UAH Deadline: 40 days
Most photo applications lose users due to slow processing or weak AI filters. For a FaceApp-like solution, the key is to balance computational power and visualization quality. The system consists of several stages: uploading to a CDN, distributed task processing across GPU clusters, and an asynchronous queue to speed up response time.
First, it is necessary to determine which specific neural networks to use — ready-made solutions (GANs) or those trained from scratch. This affects inference speed and server requirements. Working with a web view for payments requires additional architectural development due to Apple’s restrictions.
It will be important to conduct load testing during the design phase — to preliminarily model 1000 simultaneous processes with different filters. Data privacy will remain a priority at every stage.
Are ready-made API stubs needed for the frontend, or will API integration be fully synchronous with the frontend?
Budget: 27000 UAH Deadline: 80 days
Hello! I can fulfill your order as I have practical experience in developing high-performance backends for media processing, integrating diffusion and GAN models, as well as creating mobile client-server architectures (Swift/Node.js/Python).
To achieve FaceApp-level quality, a classic Stable Diffusion "out of the box" will not be sufficient — a combination of specific neural network architectures deployed on fast GPU workers is required.
Proposed approach and AI architecture:
Neural network stack (AI Engines):
Age, gender, smile modification: For instant and realistic changes in facial expression and anatomy (without hallucinations), we will use GAN models (e.g., architectures based on StyleGAN3 / SAM) or specialized models for consistent editing (like Ip-Adapter / ControlNet InstantID for Stable Diffusion XL / Flux.1). This will allow for changes in hairstyles or makeup while preserving 100% identity of the original face.
Background replacement: We will integrate a fast segmentation model SAM 2 (Segment Anything) or RMBG to separate the silhouette of a person from the background in milliseconds.
Backend and Processing Queue (High Load):
Stack: Python (FastAPI) for AI workers (through direct work with PyTorch/CUDA) + Node.js (NestJS) or FastAPI as an API gateway for the mobile application. Queues (Speed Optimization): Photo processing goes through Celery / Redis. Heavy neural networks are kept in GPU memory (VRAM) — the server does not waste time launching the model for each user, processing takes 1–3 seconds.
Bypassing 30% Apple commission (Web3 / Stripe Webview): On the backend, we implement a subscription module through Stripe or Paddle. In the mobile application (Swift), an isolated WKWebView payment screen is created. The backend generates a secure session payment link tied to the user_id of the application user. After successful acquisition, Stripe updates the status in the database via Webhook, and the application instantly unlocks Premium features.
Storage and Privacy:
Storing originals and results in Cloudflare R2 (no egress traffic charges). Photos are automatically deleted after $N$ hours post-session (privacy protection and space saving).
My GitHub: https://github.com/onyx144
Deadline: 80 days
Price: $3000
Budget: 27000 UAH Deadline: 1 day
Hello, I have experience in developing iOS applications.
Message me privately - we will discuss the details.
I will be happy to help you!
Budget: 27000 UAH Deadline: 45 days
Hello!
I am a Full-Stack developer with extensive experience in mobile development and server logic!
I have proven experience in developing high-load backends, optimizing queues (Celery/Redis/RabbitMQ), and integrating generative AI models (GAN, Stable Diffusion, API).
Here’s how I propose to implement the technical part:
The stack for the backend - Fastify/Node.js or Python (FastAPI) - is ideal for working with ML libraries and asynchronous image processing.
Queue and speed - for instant response (like in FaceApp), we will set up caching and a distributed task queue (Redis + Celery). The user immediately receives the processing status, and the server does not crash from the influx.
AI integration - we will connect top models via custom APIs (or deploy our own on AWS/RunPod for cost savings) with precise tuning of prompts for perfect gender/age swapping without "artifacts."
Bypassing 30% App Store - we will implement reliable Web Pay through the backend (Stripe/Paddle) with session generation and webhooks for instant premium access issuance on the backend.
My stack and technologies - Swift (to assist in API integration on the front end), Node.js, Docker, AWS S3, Redis, CoreML/Diffusers.
Timeline 5–7 weeks
Cost from $4,800 - finalized after discussing API methods and architecture.
My portfolio and examples of similar integrations:
https://www.kisolid.com/ru/portfolio
I am ready for a call!
Budget: 27000 UAH Deadline: 75 days
We already have almost ready architecture for such an AI photo editor, we can quickly adapt and launch the first working version, we can discuss it here, I'm available ))
Look, there’s a nuance regarding payments - the web view option to bypass the commission needs to be checked according to the store's country and Apple’s rules, because for digital subscriptions, In-App Purchase or a separate entitlement is often required.
Therefore, I would go step by step - prototype for photo processing, task queue, private storage, first 2-3 filters, then expand to a full set of effects.
According to the estimate, the first working stage is 650,000 UAH and 75 days, while the full level of FaceApp with all filters will likely be a separate roadmap after testing the models.
https://business.ingello.com/vorfahr - close in terms of AI logic, automation, and product architecture.
https://business.ingello.com/fractal - an example of a complex system with agent logic and scalable scenarios.
https://systems-fl.ingello.com - main profile of Ingello Systems for the exchange.
We need to clarify two points:
- Which 2-3 filters should be the first for quality checking - age, gender, smile, or background?
- Have the models already been selected or do we need to choose a stack and check the quality on your photos?
From my feelings, the key risk here is not the backend itself, but the quality of filter implementation on real photos and a stable queue without long waiting times =/
Budget: 25000 UAH Deadline: 30 days
Good afternoon! We have experience in developing high-load systems for image processing using CoreML and integrating neural network models. We implement backend architecture for fast photo processing and a scalable API for your application. We are ready to discuss the details of integration and optimization of processing pipelines.
