SASHIKUMAAR S J@iamsk003

CLARIS AI is an end-to-end explainable multimodal video captioning system designed to generate accurate, natural, and context-aware captions from short video clips. It combines visual scene understanding, speech recognition, OCR, motion analysis, and multimodal AI reasoning to build a unified understanding of a video before generating four distinct caption styles that remain grounded in the same evidence. Unlike conventional captioning systems that often produce generic descriptions, CLARIS AI first constructs an evidence ledger from multiple perception modules and then performs a single multimodal reasoning step to generate all caption styles consistently. This design preserves factual consistency while allowing different writing styles—including formal, sarcastic, tech humor, and everyday humor—without changing the underlying facts.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.