Modernise AI-Based Image Editing Platform
Budget / Salary₹250,000–500,000
TypeFreelance project
LocationRemote
Posted1 hour ago
Build and Modernise a Scalable Web-Based AI Image Editing Platform
We are seeking an experienced developer, multidisciplinary freelance team or software company to modernise our existing Python/Flask image-enhancement and editing platform and build a unified, responsive **Image Studio**.
The engagement will include:
* Consolidating existing image tools into a canvas-based Studio while retaining existing SEO landing pages.
* Implementing agreed Phase 1 editing features, including enhancement, adjustments, crop and transform, background editing, effects, artistic styles, text and elements, frames, resize and export.
* Building sequential, non-destructive editing with previews, history, undo/redo and before/after comparison.
* Evaluating suitable APIs, libraries and AI models based on quality, processing time, licensing and cost.
* Implementing user accounts, subscriptions, credits, usage limits and administration.
* Modernising the architecture, deployment, security and processing workflow so the platform can scale reliably as usage grows.
* Migrating the existing application and functionality without avoidable SEO or production disruption.
**Expected technical direction**
* Modular Python/Flask backend instead of extending the existing monolithic `app.py`.
* Responsive frontend with Fabric.js or another justified canvas framework.
* PostgreSQL for users, subscriptions, credits, jobs and audit records.
* Redis-backed asynchronous processing using Celery or an equivalent.
* Private object storage with secure, expiring downloads.
* Reusable local-processing and external AI-provider wrappers.
* Secure anonymous and authenticated sessions.
* Rate limiting, quotas, upload validation, image sanitisation and abuse protection.
* Testing, monitoring, backups, rollback and separate environment practices.
* Cost-conscious architecture with a clear future scaling and high-availability path, without unnecessary overengineering.
**Who should apply**
Applicants should demonstrate relevant experience in image-processing applications, interactive canvas editors, Python/Flask, OpenCV/Pillow/ONNX, AI API integration, asynchronous workers, SaaS subscriptions and secure production deployment.
Please provide:
1. Relevant image-editing, canvas or AI-platform examples.
2. Recommended technical approach.
3. Key assumptions, dependencies and risks.
4. Details of ongoing warranty and support.
A complete PRD/FRD, TRD/NFR, architecture specification and commercial-response template will be shared with shortlisted candidates after an initial discussion and confidentiality acknowledgement. Separate quotations will be requested for mandatory Phase 1 scope and optional advanced AI features.
We are seeking an experienced developer, multidisciplinary freelance team or software company to modernise our existing Python/Flask image-enhancement and editing platform and build a unified, responsive **Image Studio**.
The engagement will include:
* Consolidating existing image tools into a canvas-based Studio while retaining existing SEO landing pages.
* Implementing agreed Phase 1 editing features, including enhancement, adjustments, crop and transform, background editing, effects, artistic styles, text and elements, frames, resize and export.
* Building sequential, non-destructive editing with previews, history, undo/redo and before/after comparison.
* Evaluating suitable APIs, libraries and AI models based on quality, processing time, licensing and cost.
* Implementing user accounts, subscriptions, credits, usage limits and administration.
* Modernising the architecture, deployment, security and processing workflow so the platform can scale reliably as usage grows.
* Migrating the existing application and functionality without avoidable SEO or production disruption.
**Expected technical direction**
* Modular Python/Flask backend instead of extending the existing monolithic `app.py`.
* Responsive frontend with Fabric.js or another justified canvas framework.
* PostgreSQL for users, subscriptions, credits, jobs and audit records.
* Redis-backed asynchronous processing using Celery or an equivalent.
* Private object storage with secure, expiring downloads.
* Reusable local-processing and external AI-provider wrappers.
* Secure anonymous and authenticated sessions.
* Rate limiting, quotas, upload validation, image sanitisation and abuse protection.
* Testing, monitoring, backups, rollback and separate environment practices.
* Cost-conscious architecture with a clear future scaling and high-availability path, without unnecessary overengineering.
**Who should apply**
Applicants should demonstrate relevant experience in image-processing applications, interactive canvas editors, Python/Flask, OpenCV/Pillow/ONNX, AI API integration, asynchronous workers, SaaS subscriptions and secure production deployment.
Please provide:
1. Relevant image-editing, canvas or AI-platform examples.
2. Recommended technical approach.
3. Key assumptions, dependencies and risks.
4. Details of ongoing warranty and support.
A complete PRD/FRD, TRD/NFR, architecture specification and commercial-response template will be shared with shortlisted candidates after an initial discussion and confidentiality acknowledgement. Separate quotations will be requested for mandatory Phase 1 scope and optional advanced AI features.
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