Domains 🌐

Blurbs 🔤

Comments: looks good. There’s a lot here technically so I need to work out what features are shared amongst all of these and which ones are unique/ need to be built. Then we prioritise build against what clients we want/ have access to

@Corey Parkinson Okay! Will put it on the website and we can edit as we go… let me know if there is anything you ABSOLUTELY DO NOT want to be shared. But at this point in time I think we put it up there, and take down when needed.

Starting transfer of the script now. Format has all been designed and implemented.

Okay- nice one!

Tech:

Models:

-Decoding video to a select number of frames which can be ingested by our CNN model

-Created a CNN model to identify key malicious content (certain % of skin, children, negative gestures)

-API

Portal

• Results Page

  • A table with all videos/images and their Priority
    • Priority is based on the level of severity which can be set by cleints
  • Filter by priority and also the different malicious content e.g filter swearing/nudity etc
  • Dashboard view
    • Number of flagged videos in past 30 days / 7 days
    • Pie chart of malicious content breakdown
    • Total number of videos processed.
    • Number of flagged malicious videos.
    • Percentage of videos flagged.
    1. Real-time Monitoring:
       • Live feed of videos being processed.
       • Highlight flagged videos for quick attention.
    2. Severity Level:
       • Categorise malicious content by severity (e.g., low, medium, high).
       • Visual indicators for severity levels.
    3. Geographical Distribution:
       • Map showing the geographical distribution of flagged videos.

• Analytics Page

  • Reports:
  1. Trend Analysis:
     • Historical data on the frequency of malicious content over time.
     • Identify patterns or spikes in malicious content.
  2. Content Types:
     • Breakdown of malicious content by types (e.g., violent, explicit, hate speech).
     • Analysis of the most prevalent types of malicious content.
  3. User Patterns:
     • Identify users who frequently upload malicious content.
     • Analyze user behavior patterns leading to malicious content.
  4. Efficiency Metrics:
     • False positive/negative rates.
     • Time taken to process and flag malicious content.
  5. Geographical Insights:
     • Analyse regional variations in malicious content.
     • Identify hotspots or regions with higher instances.

• API Config Page