Flask Backend Upgrade for Autism App
Budget: $250 – $750 USD
I’m building a smart autism early-detection and child-monitoring platform on Python Flask with HTML, CSS and JavaScript on the front end. The system already handles bilingual screens (English / Arabic with RTL), assessment forms, child-progress visualisations and a secure specialist-parent chat, but growth in user data is starting to slow page loads.
My first priority is backend improvements, specifically database optimization. I need schema fine-tuning, efficient indexing, and refactored queries so the dashboard and reporting modules remain snappy as records scale. While you work on the data layer you may also spot opportunities to streamline API endpoints and tighten user-session management; feel free to flag them.
Once the core is fast and stable, we can circle back to smaller items—polishing RTL styles, tightening responsive breakpoints and refining a few React-free JS widgets—but the database work comes first.
If you’ve rescued a Flask project from performance bottlenecks before, I’d love to see it. Please send links or repos that show your past work on similar optimizations and briefly outline the techniques you used. A short, focused example is more valuable than a long brochure.
Tech stack you’ll touch:
• Python Flask (Jinja templates)
• SQL database accessed through Flask’s ORM layer
• Vanilla JS, HTML5, CSS3 for incidental UI tweaks
I work in short milestones and review code on GitHub. Clear commits, concise comments and regular check-ins are essential. Let’s make this platform fast, stable and ready for the families and specialists who rely on it.
My first priority is backend improvements, specifically database optimization. I need schema fine-tuning, efficient indexing, and refactored queries so the dashboard and reporting modules remain snappy as records scale. While you work on the data layer you may also spot opportunities to streamline API endpoints and tighten user-session management; feel free to flag them.
Once the core is fast and stable, we can circle back to smaller items—polishing RTL styles, tightening responsive breakpoints and refining a few React-free JS widgets—but the database work comes first.
If you’ve rescued a Flask project from performance bottlenecks before, I’d love to see it. Please send links or repos that show your past work on similar optimizations and briefly outline the techniques you used. A short, focused example is more valuable than a long brochure.
Tech stack you’ll touch:
• Python Flask (Jinja templates)
• SQL database accessed through Flask’s ORM layer
• Vanilla JS, HTML5, CSS3 for incidental UI tweaks
I work in short milestones and review code on GitHub. Clear commits, concise comments and regular check-ins are essential. Let’s make this platform fast, stable and ready for the families and specialists who rely on it.