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Video Captioning AI

Video Captioning AI

Vercel

Created by team Dbledote on July 06, 2026

Gemini AI Github Copilot Qwen3-VL

Video Captioning

This project introduces a highly optimized, asynchronous video captioning pipeline engineered for fast hackathon evaluations. By bypassing traditional, time-consuming file downloads, the system leverages raw FFmpeg network input-seeking to isolate and extract keyframes instantly using HTTP range requests. These downscaled frames are converted to base64 and dispatched to the Fireworks AI gateway. First, the Qwen-3.7-Plus vision model generates a foundational visual description, which the DeepSeek-V4-Pro text model dynamically interprets into multiple distinct caption styles. Hardened with exponential backoff retries, the architecture cleanly eliminates network timeouts.

Category tags:

Coding, Network Optimization and Upgrades, Video

Github Presentation Demo

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Taskly classifies incoming tasks into 8 categories (QA, math, code, NLP) and routes each to the optimal Fireworks AI model with a tuned prompt — maximizing accuracy while minimizing token usage in a fully Dockerized pipeline.

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router_007_v2 is a Track 1 agent that records **zero billable tokens**: every answer is computed inside the container by a Qwen2.5-7B-Instruct model bundled in the Docker image and served in-process with llama-cpp-python

roc_auc_half

Claude CodeChatGPTAMD ROCm

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Agent knows how to make thorough legal research based on my experience of winning legal cases. It understands your issue and advises on procedure

Lexyprep - Do you have a case

AMD Developer CloudAMD ROCmCodexGemma

video-captioning-agent

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memovate

AMD Developer Cloud

Hatim Mustafa

Upcoming AI Hackathons
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AI Classroom Edge Intelligence

A privacy-first classroom AI platform that routes sensitive work to local edge systems and eligible anonymized analysis to Fireworks AI, helping teachers make faster, safer instructional decisions even with unreliable internet.

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AMD Developer CloudQwen3rest apiGithub CopilotCodexChatGPT

Taskly: Smart Multi-Model Task Router

Taskly classifies incoming tasks into 8 categories (QA, math, code, NLP) and routes each to the optimal Fireworks AI model with a tuned prompt — maximizing accuracy while minimizing token usage in a fully Dockerized pipeline.

RuntimeTerror

AMD Developer CloudAMD ROCm

router_007_v3

router_007_v2 is a Track 1 agent that records **zero billable tokens**: every answer is computed inside the container by a Qwen2.5-7B-Instruct model bundled in the Docker image and served in-process with llama-cpp-python

roc_auc_half

Claude CodeChatGPTAMD ROCm

Lexyprep

Agent knows how to make thorough legal research based on my experience of winning legal cases. It understands your issue and advises on procedure

Lexyprep - Do you have a case

AMD Developer CloudAMD ROCmCodexGemma

video-captioning-agent

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris at cursus dolor. Phasellus porta, sapien ut molestie aliquet, sapien velit.

memovate

AMD Developer Cloud

AI app: Video Captioning AI for AMD Developer Hackathon: ACT II