SharkTank

Core Concept An AI-driven platform that evaluates startup projects and investment opportunities, providing investors with data-backed assessments to make informed decisions. Think of it as a "due diligence co-pilot" that analyzes projects across multiple dimensions. Key Features & Functionality Automated Project Analysis

Upload pitch decks, business plans, and financial projections for instant AI evaluation Multi-criteria scoring across team strength, market opportunity, product viability, financial health, and competitive positioning Natural language processing to extract key insights from documents and presentations

Real-time Risk Assessment

Market risk analysis using live data feeds and trend analysis Technical feasibility scoring for tech-focused projects Financial modeling and burn rate projections Competitive landscape mapping

Comparative Intelligence

Benchmark projects against similar successful/failed ventures in the same sector Pattern recognition from historical investment outcomes Portfolio fit analysis - how well does this align with investor's existing holdings

Smart Matching

Match projects to investor preferences, thesis, and risk appetite Alert system for high-potential opportunities in preferred sectors Collaborative filtering based on what similar investors have backed

Due Diligence Automation

Background checks on founding team using public data Verification of claims in pitch materials Legal and compliance red flag detection IP and patent landscape analysis

Technical Architecture Frontend: Clean dashboard showing scored projects, detailed breakdowns, comparison tools AI Models: Combination of NLP for document analysis, predictive models for success probability, computer vision for pitch deck analysis Data Sources: Market databases, regulatory filings, news APIs, social signals, financial data providers

How It's Made Our investment analysis platform combines cutting-edge AI with blockchain verification to create a transparent, trustworthy evaluation system. Core Tech Stack:

Frontend: React.js with TypeScript for type safety, Tailwind CSS for responsive UI, Recharts for data visualization dashboards Backend: Node.js with Express, Python FastAPI for AI model serving AI/ML Layer: OpenAI GPT-4 for document analysis and insight extraction, custom fine-tuned models for investment scoring, LangChain for orchestrating multi-step analysis workflows Blockchain Integration: Smart contracts deployed on Metis Andromeda for immutable scoring records and audit trails, ensuring investors can verify analysis wasn't tampered with post-facto Database: PostgreSQL for structured data, Pinecone vector DB for semantic search across historical deal data