Priyanka Balwa
AI Creative Director | Films, Ads & Character Design
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My family doctor is old school. Like, properly old school.
Dr. Dedhia has been practising general medicine in Tilak Nagar for years. He's older now, and many of his patients are older too, longtime neighbourhood residents who've trusted him for years.
He has no website. No WhatsApp updates. No online booking. No appointment system.
You walk in.
And try your luck.
Maybe he's in. Maybe three people are waiting. Maybe twenty.
Or maybe you drag yourself to the clinic while sick, only to realise the doctor isn't in.
So when Base44 said #GiveItAGlow, I kept thinking about one ridiculously simple question:
Is the doctor in?
I gave the answer a literal glow. š¢
I built ClinicQueue.
When Dr. Dedhia is in, the bulb glows green. When he's out, it dims.
Underneath, you can see the current token, how many people are waiting and roughly how long the wait is.
No login. No chatbot. No booking calendar.
Because that's not how this clinic works.
Patients can get a token remotely instead of sitting around in a crowded waiting room.
Dr. Dedhia gets an intentionally simple dashboard. In/Out. Next Patient. Live Queue.
Something an older doctor can operate himself, between two patients, without needing staff to manage software.
I also built token notifications, a neighbourhood clinic ticker and an About the Doctor section because, in neighbourhood medicine, trust matters more than features.
This isn't trying to turn his clinic into a hospital.
It's not trying to change how he practises.
It's technology built around the doctor and patients who already exist.
A light.
A number.
One honest answer before you leave the house.
Is the doctor in? š¢
TRY IT LIVE
š¢ Patient view: ClinicQueue live app (https://clinicqueue.base44.app/?utm_source=chatgpt.com)
šØāāļø Doctor dashboard: ClinicQueue dashboard
(https://clinicqueue.base44.app/dashboard?utm_source=chatgpt.com)Demo PIN: 1234
Built on Base44 for #GiveItAGlow.
One glow. One queue. Zero uncertainty.
@Base44 #GiveItAGlow #Base44 #HealthTech
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AI Cinematic Trailer for a Bestselling Audiobook ā
Completed in one working day, from concept to final delivery.
This trailer was created as my submission for Pocket FM's Prompt2Pixels AI Filmmaking Contest, where participants were challenged to transform a Pocket FM audiobook into a cinematic trailer using AI throughout the entire production pipeline.
For this project, I adapted Flameborne from its audiobook format into a 30-second cinematic trailer, handling every creative stage from story adaptation and scripting to AI cinematography, motion direction, voice-over, music, sound design, editing, and final post-production.
Rather than relying on a single model, I built a multi-model AI production workflow, using the strengths of different tools to maintain character consistency, cinematic continuity, emotional storytelling, and seamless transitions across independently generated scenes.
My Role
Story Adaptation (Audiobook ā Trailer)
Trailer Script
Storyboarding & Shot Design
Creative Direction
Prompt Engineering
AI Cinematography
AI Motion Direction
Voice-over Production
Trailer Music Generation
Sound Design
Editing & Post Production
AI Production Pipeline
Nano Banana Pro for character consistency and keyframe generation
Kling for cinematic image-to-video animation
Seedance for action sequences and complex camera movement
Krea for transition refinement and iterative motion
ElevenLabs for AI voice-over and audio production
Canva for editing, compositing, titles, and final finishing
Project Summary
Contest: Pocket FM Prompt2Pixels AI Filmmaking Contest
Source Material: Pocket FM audiobook (Flameborne)
Output: 30-second AI-generated cinematic trailer
Timeline: 1 working day, from concept to final delivery
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