RIBIF, Industrial Investment Platform
Industrial investment requires complex analysis across documentation, sourcing, and layout. RIBIF was designed to automate this intelligence by chaining 9 specialized modules.
About This Project
Chaining 9 distinct modules—from technical documentation extraction to 3D layout rendering—into one coherent industrial decision workflow.
Built a robust Next.js/Flask pipeline integrating GenAI for extraction, automated supplier sourcing, TCO modeling, and R3F for factory digital twins.
Created a unified workspace that supports industrial companies from pre engineering to final investment decisions with data-backed simulations.
Full-stack Developer
2025
Public
Hackathon
Technology Stack
Project Story
Chaining 9 distinct modules—from technical documentation extraction to 3D layout rendering—into one coherent industrial decision workflow.
Built a robust Next.js/Flask pipeline integrating GenAI for extraction, automated supplier sourcing, TCO modeling, and R3F for factory digital twins.
Created a unified workspace that supports industrial companies from pre engineering to final investment decisions with data-backed simulations.
Insights & Takeaways
Highlights
- Integrates technical extraction, procurement intelligence, and financial simulation.
- Features 2D/3D layout generation and automated business plan/pitch deck preparation.
Challenges
- Chaining multiple backend services (Python/Flask) with a real-time Next.js frontend.
- Ensuring technical accuracy in machine specification extraction (Module 1).
- Visualizing complex spatial data using Three.js and HD video rendering.
Lessons Learned
- Chaining procurement and financial decisions before visual generation allows for a more stable and accurate investment package.
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