Revolutionising Content Moderation for Modern Chat Applications
In response to the rising need for effective and scalable content moderation, I developed a bespoke platform that automates the moderation process, delivering unparalleled efficiency and cost savings. Initially, the client considered outsourcing to large teams in India, expecting to spend £8,000–£10,000 per month. By leveraging advanced AI technology, I implemented a solution that reduced costs to under £3–£4 per 1,000 users monthly, scaling automatically on GCP based on usage, saving the company nearly £100,000 in its first year of operation.
How the Solution Works
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Custom Moderation Levels: Users can define moderation intensity based on their unique needs, ensuring optimal results.
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AI-Driven Automation: Utilising Google's Gemini Pro AI, the platform automatically detects and flags inappropriate content, misinformation, harmful language, and spam, supporting multiple languages seamlessly.
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Scalable and Efficient: Designed for rapid deployment across chat networks of any size, the system processes thousands of interactions daily without compromising performance.
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Platform and Language: Built on Google Cloud Platform (GCP) with Python integrations for seamless AI functionality. Supports moderation in over 50 languages, adaptable to varying client needs.
Key Achievements
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Saved the client over £8,000 monthly, amounting to £96,000 in annual savings on operational costs compared to outsourcing, with cluster and processor costs kept between £40–£80 at current usage.
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Delivered real-time, multi-language moderation at a fraction of traditional costs.
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Enhanced platform safety and user satisfaction by ensuring precise and unbiased content review.
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Enabled scalability for other clients with similar requirements, proving its adaptability and versatility.
This project exemplifies the fusion of technical innovation and cost-effective problem-solving, making it a highlight of my career in platform development. Demos are available on request.