Startup Vision 3D: Automating Cinematic AI Investor Pitches

The Challenge: Startups often struggle to visualize their ideas for investors without a massive production budget. During the Huawei Developer Competition 2025, I identified a gap: the transition from a text-based business plan to a high-fidelity visual presentation is slow and expensive. I built Startup Vision 3D to bridge this gap using autonomous AI workflows.

The core of the project focuses on democratizing high-end venture storytelling. By leveraging advanced Large Language Models and generative video AI, I created a pipeline that allows founders to transform a simple pitch deck into a cinematic 3D experience.

Technical Implementation

The system architecture is built on a modular AI stack. I utilized Python and n8n to orchestrate data between various endpoints. The workflow begins by processing market data through GPT to extract core insights, which are then fed into generative engines like RunwayML and Kaiber.

Recognition & Certification

This project was developed for the Huawei Developer Competition 2025 (Northern Africa). I was honored to receive a Certificate of Participation for innovative engagement and technical excellence in building AI-driven solutions.

Issued by: Huawei Developer Committee
Date: December 2025

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Core Technologies

• Natural Language Processing: GPT-4 for market intelligence.
• Generative Video: RunwayML and Kaiber APIs for 3D rendering.
• Workflow Automation: n8n and Python for API orchestration.

The final result is a scalable platform that empowers the next generation of founders to pitch with confidence, backed by high-quality visual assets.