prime-ai

byJanvi S

Scope of Work (SOW) Project: AI-Based Design & Schematic Generation Platform 1. Objective To develop an AI-powered chat-based application that enables users to describe ideas via text, image, or video and receive design schematics, 2D/3D models, and build guidance for real-world product creation. 2. Scope Overview The system will function as an AI Design Assistant, capable of: Understanding user intent through conversational interaction Processing multi-modal inputs (text, image, video) Generating conceptual and semi-technical design outputs Delivering structured outputs such as schematics, models, and step-by-step instructions 3. Input Modes (Core Differentiator) The platform will support three types of user inputs: 1. Text-Based Input (ChatGPT-style) Users describe ideas via text AI interprets and generates design outputs Iterative refinement via conversation 2. Image-Based Input Users upload reference images AI analyzes structure, components, and form Generates similar or improved design schematics 3. Video-Based Input (Phase-wise) Users upload short videos for reference AI extracts frames and key elements Generates structured design outputs based on motion/structure understanding 4. Key Modules & Features 4.1 Chat Interface Conversational UI (ChatGPT-like) Multi-modal input: text, image, video Context-aware interactions Iterative design refinement 4.2 AI Processing Engine LLM integration for reasoning and interaction Prompt orchestration and memory management Multi-step design reasoning workflows 4.3 Vision Processing Module Image and video frame analysis Object detection and feature extraction Reference-based design interpretation 4.4 Design Generation Module Conceptual design generation 2D schematics (diagrams, layouts) Basic 3D model generation (STL/OBJ) System architecture diagrams 4.5 Output & Export Module Export formats: STL / OBJ / PDF / Images Bill of Materials (basic) Step-by-step build instructions Downloadable design reports 4.6 Iteration & Customization Modify designs via prompts Adjust constraints (size, cost, materials) Version history of designs 4.7 Admin Panel User management Usage monitoring File and output tracking Basic analytics 5. Technology Stack (Indicative) Frontend: Web-based application Backend: Python / Node.js AI Models: LLM + Vision models Database: PostgreSQL / NoSQL Storage: Cloud storage Optional: Vector DB for contextual retrieval 6. Deliverables Web-based AI chat platform Text + Image + (Phase-wise) Video input support Design generation (2D + basic 3D outputs) File export (STL/OBJ/PDF) Admin panel Cloud deployment 7. Project Timeline (Refined) Phase 1 – MVP (6–8 Weeks) Chat interface (text-based) Basic AI design generation 2D schematic outputs Initial 3D model generation (basic STL/OBJ) File export (PDF/images) Phase 2 – Vision Integration (4–6 Weeks) Image input processing Reference-based design generation Improved 3D outputs Basic BOM + structured outputs Phase 3 – Advanced Capabilities (6–8 Weeks) Video input processing (frame extraction + interpretation) Enhanced AI reasoning and iteration Improved accuracy and customization Performance optimization Phase 4 – Scaling & Enhancements (Optional | 4–6 Weeks) UI/UX improvements Advanced export formats System optimization and scalability Domain-specific enhancements 8. Assumptions Initial outputs will be conceptual to semi-technical High-precision CAD outputs require advanced integrations (future phase) Third-party AI models/APIs may be used 9. Out of Scope (Initial Phases) Certified engineering-grade schematics Advanced simulations (stress, thermal, etc.) Manufacturing validation 10. Summary Multi-modal AI system (Text + Image + Video) Converts ideas → buildable designs Phased approach for faster launch and scalability