Cloud bot for video rendering (Telegram interface, fast render 1 hour/video, delivery via Goo

AI & Machine Learning, Python — incorrectly specified categories?

Project translated automatically. Log in or register, to view the original

Need an expert developer: Cloud bot for video rendering (Telegram interface, fast render 1 hour/video, delivery via Google Drive)

Looking for a developer with proven experience in creating high-speed cloud software for video rendering to implement a solution in the form of a Telegram bot.

Requirements:

Experience in developing or architecting cloud solutions for video rendering (preferably with support for video effects, audio, and subtitles).
Your previous projects should include high-performance or automated video rendering, not just simple editing tools.
Telegram bot interface for easy file uploads and task status tracking.
Ability to render 1-hour videos (with video, image, and audio APIs) with simple effects and Whisper subtitles running locally.
Processing 10–15 full (1 hour) videos per hour.
100% cloud operation (AWS, GCP, Azure, etc.) using GPU for fast processing.
Delivery of finished videos via Google Drive link.

Qualification requirements:

Proven portfolio of cloud services/video rendering tools (please include links or descriptions).
Deep knowledge of video frameworks (ffmpeg, moviepy, or similar), API integration, and server infrastructure.
Ability to propose and implement a cost-effective and scalable server architecture for fast parallel rendering.
Experience with Telegram bots and Google Drive integration.
Ability to set up and run OpenAI Whisper locally for subtitles.

Request to candidates:

Send details and links to your previous cloud projects for video rendering.
Describe your recommended cloud/server architecture for such a load and explain why this stack.
Estimate implementation timelines and initial budget.
Questions and suggestions are welcome.

Proposals 6

Oleksandr Stinkovyi

117 0

Budget: 2000 UAH Deadline: 1 day

Hello.

I am developing bots for Telegram in NodeJS. I am ready to take it on. Write to me, we will discuss.

Veronika Nechaieva

0 0

Projects -
Rating -
Rating 380

Budget: 27000 UAH Deadline: 120 days

Good day!

We have reviewed your technical assignment for the project. Our team is ready to take on the full implementation.

📌 Terms of cooperation:
• Total implementation cost: about 600,000 UAH
• The project will involve 2 experienced developers
• Estimated development time: 4 months

📌 Our experience:
• Development and support of complex IT solutions (fintech, business process automation, integration with payment systems).
• Proficiency in technologies: Python, Docker, Git/CI, PostgreSQL, Redis, Stripe/Monobank, Telegram API, AI/ML modules.
• Established work process: planning, transparent budget control, regular reports and demos.

We can implement the project in stages or take it completely "turnkey." We are ready to discuss details and priorities with you soon.

Kostiantyn Pavlukhin

8 0

Budget: 21000 UAH Deadline: 7 days

Hello,

I am a developer in the AI/ML field. I can complete your project. Write to me, and we will discuss.

Ali Munzer

0 0

Projects -
Rating -
Rating 198

Budget: 27000 UAH Deadline: 10 days

Hello, Yevhen! I will propose and implement a cloud rendering conveyor with a Telegram interface and delivery to Google Drive.
Architecture: bot (Python/aiogram or FastAPI webhook) → queue (Redis/RabbitMQ) → GPU workers in the cloud (GCP/AWS/Azure; Docker with FFmpeg+NVENC and Whisper) → object storage (S3/GCS) → public Drive link. Support for effect/overlay templates and subtitles, task statuses, retries, limits, alerts (Telegram). Scaling — auto-scaling of workers based on queue size: target — ~1× real-time per video; 10–15 videos/hour achieved through parallelism.
I will create an infrastructure estimate (GPU T4/L4, disks, outbound traffic) and a cost optimization plan.

Deadline: MVP 7–10 days, production 3–5 weeks.
Budget: Architecture+MVP — 35,000–55,000 UAH, production refinement — 80,000–120,000 UAH (cloud costs separately).
I see rates of 1–2 thousand UAH — this is about "looking at the code." Here, a complete cloud system with GPUs and queues is needed; I will do this correctly and scalably, without dumping.