Abdul Moiz Memon - Brand Designer | ContraWork by Abdul Moiz Memon
Abdul Moiz Memon
pro

Abdul Moiz Memon

Full-Stack Engineer for Startups & Web3

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A new CARRIED experiment. With the challenge deadline extended, I used the extra time to push the concept further and create a more dynamic version of the campaign. This new ad shifts the focus entirely to the transformation—worn denim deconstructed, stitched into a new form, and carried forward. The creative process remains the same as my original entry: AI-generated concept development AI image generation AI video generation Music selection and editing The only change this time was the final assembly. Instead of using Remotion, I edited and combined all the AI-generated clips in CapCut, which gave me more flexibility to refine the pacing, transitions, and overall flow of the commercial. The original case study, including the complete Envato + Remotion workflow, is here: 🔗 https://on.contra.com/CndcmG CARRY WHAT MATTERS.
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Cover image for Worn Well — my #EnvatoChallenge
Worn Well — my #EnvatoChallenge entry.. A father’s worn denim jacket becomes his son’s backpack—carrying the material, memories and story into a new generation. The idea began with one belief: “Things have a price. The emotions they carry give them value.” I created the images, video, voice-over, music and sounds with Envato, then brought the story together in Remotion. AI created the possibilities. The human decisions shaped what was worth carrying forward.
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Excited to submit ScopeBridge for the Config Makeathon. Live Prototype: https://orchid-array-71734735.figma.site/ Figma Community File: https://www.figma.com/community/file/1649353646419325324 Why this idea Every freelance project starts with a conversation. Before pricing is discussed, clients and freelancers usually define requirements, priorities, expectations, assumptions, budget, and timelines through chat. But in many cases, quotes are shared before both sides fully understand what the work actually includes. This can create confusion for clients, uncertainty for freelancers, and project scopes that shift after the work has already started. ScopeBridge explores the step before proposal writing: scope alignment. Instead of helping freelancers simply generate faster proposals, ScopeBridge focuses on helping both sides understand the project better before the proposal or quote exists. The Solution ScopeBridge is a chat-side AI scope alignment assistant for freelance platforms. It sits beside a project conversation and turns early chat messages into quote-ready clarity by identifying: - What is already defined - What still needs alignment - Key assumptions - Important clarification questions - Suggested milestones - A structured scope packet both sides can review In the prototype, a client shares an early dashboard project idea. ScopeBridge analyzes the conversation, suggests alignment questions, updates the readiness score as more details are provided, and generates a structured scope packet before pricing begins. How I designed this I designed ScopeBridge using Figma Make as an interactive concept prototype. The workflow included: Framing the problem around freelance project communication Designing a simulated freelance chat interface Creating a ScopeBridge assistant panel inside the conversation Mapping the flow from early chat to alignment questions to quote-ready scope Adding a demo mode to show how scope clarity improves as the client provides more details Publishing both the live prototype and Figma Community file Impact ScopeBridge helps freelancers scope faster, clients communicate more clearly, and projects start with shared understanding instead of uncertainty. The goal is not to replace human judgment or negotiation. The goal is to create a clearer bridge between the first project conversation and the final quote.
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