AI[SYS_ID: CHANNEL-IQ]

AI video processing platform that automates short-form content creation, captions, SEO metadata, and batch video processing.

01.System Interface & Screenshots

https://channel-iq.aqib.dev
Channel-IQ Interface Screenshot
[SCREENSHOT_01_ACTIVE]

02. Interactive Pipeline Simulation

Interactive System Architecture Simulator

Simulate processes and see live data flows, database locks, and logs in Aqib's backend pipelines.

System Node Architecture:
Client Uploader
AWS S3
Django Celery
YouTube API
Visual Feedback Window:
CHANNEL-IQ COMPILING PROCESSSTAGE: IDLE
Click "Start Simulation" to launch S3-Celery compiler pipeline.
Pipeline Stage Info
Press "Start Simulation" to review detailed process annotations.
Pipeline Console Output:
Console output idle. Launch simulation to trace diagnostic outputs.

03. The Problem

Long-form video creators spend excessive time manually identifying key moments, editing clips, refining subtitles, and crafting SEO metadata for multiple channels.

04. The Solution

Designed and implemented automated video processing pipelines, noise reduction logic, resolution tuning, and custom LLM prompting to extract, transcribe, and publish high-quality shorts.

05. Key Features

  • >Automated video processing pipelines
  • >Batch video processing
  • >Noise reduction & resolution tuning
  • >Auto-captioning and subtitle refinement
  • >SEO metadata generation
  • >OAuth-based YouTube publishing flow

AI & Automation Workflows

-LLM-based highlight identification & metadata generation
-RAG-based retrieval for channel-specific SEO optimization
-Computer vision (OpenCV) for face detection and dynamic crop adjustments

08. Engineering Challenges

Processing large video files asynchronously without blocking server execution

Solved using background queues and AWS S3 storage event triggers.

Syncing word-level caption timestamps precisely

Solved by combining Whisper transcription models with automated alignment algorithms.

[SYSTEM_SPECIFICATIONS]
ROLE:
Full-Stack / AI Engineer
CATEGORY:
AI
TECHNOLOGY STACK:
PythonDjangoReactAWSLLMsOpenCVFirebaseS3YouTube APIOAuth
BUSINESS IMPACT:
Reduced manual editing time by 75% and enabled content creators to scale their multi-platform publishing schedules automatically.