Nirbhau Singh 's Work | Contra
Work by Nirbhau Singh
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Nirbhau Singh
AI assisted Developer, Web Designer, Game Developer & Design
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GALLERY L
Mumbai, India
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Mumbai, India
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Completed a ~90-second cinematic micro-drama assignment for an AI artist role, working from rough scene outlines, simple dialogue lines, an audio track to sync to, and provided character and location reference images. Engineered detailed, shot-by-shot prompts for Google Flow to generate 13 continuous live-action clips in 9:16 vertical format, translating the simple source material into precise continuity instructions covering consistent character appearance, wardrobe, and environment, physically accurate prop handling (a cigar-and-lighter sequence tracked frame-by-frame from pocket to lit cigar to ash), and natural camera movement. The generated clips were then stitched together and synced to the provided audio to produce the final scene. The project demonstrates prompt engineering for narrative and visual continuity in AI-generated video, along with video editing and audio-syncing skills, translating rough creative direction into a polished, cohesive final sequence.
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German With Aman - Language Classes Website + SEO Setup Designed and developed a website for German With Aman, a German language learning brand, alongside foundational SEO groundwork to improve search visibility. This included generating and submitting an XML sitemap and setting up page indexing through Google Search Console and Bing Webmaster Tools, ensuring the site was properly discovered and indexed from launch, giving the brand a stronger foundation to be found by prospective students searching online.
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Designed and developed a hand-tracking game where players use their own hand movements to cut fruits and score points, while avoiding explosives that cost a life. The game continues until the player runs out of lives or scores as many correct cuts as possible before time runs out. Camera-tracked gesture control makes fruit identification fast-paced, fun, and interactive.
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Designed and developed a hand-tracking educational game teaching family relationships and terminology. Players move a cursor using their own hand movements to select the correct family member's portrait and drag it into the answer box based on relation-based questions, receiving visual feedback for correct or incorrect answers. The game continues until the player runs out of lives or successfully answers within the time limit, making learning about family and relations fun and easy to grasp.
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