🚀 Startup Analyzer Suite

A Flask-based web application that analyzes startup and founder credibility using AI and external data sources.

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🧱 Technology Stack

🔧 Core Technologies

• Programming Language: Python

  • Backend logic, API interactions, AI processing, and app flow.
  • Chosen for its readability, rich ecosystem, and strong AI/data science libraries.

• Web Framework: Flask

  • Handles routing, request/response flow, context management.
  • Modularized using Flask Blueprints.

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🎨 Frontend Technologies

• Templating Engine: Jinja2

  • Dynamic HTML rendering with Python expressions.
  • Includes a custom filter for number formatting.

• Markup Language: HTML5

  • Forms, structure, and content of the user interface.

• Styling Language: CSS3

  • Layout and appearance via static/css/style.css.

• CSS Framework: Bootstrap 5.3

  • Responsive design and pre-built UI components.
  • Included via CDN in base.html.

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🌐 Data Fetching & Web Interaction

• HTTP Requests: requests

  • Interacts with external APIs (Crunchbase, OpenAI, etc.)

• Web Scraping: BeautifulSoup4

  • Parses HTML content for data extraction (limited and unreliable use).

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📡 External API Integrations

• Crunchbase API

  • Structured startup and founder data (via API key).

• OpenAI API

  • Generative AI tasks: SWOT, summaries (via openai Python library).

• (Placeholders)

  • Bloomberg, Failory: Future scraping/integration.
  • Legal/Financial/KYC APIs: Reserved for scalable verification features.

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🧠 AI / NLP Libraries

• Hugging Face transformers

  • Pre-trained pipelines for:
    • Sentiment Analysis
    • Text Summarization

• PyTorch (torch)

  • Backend for transformers, no direct usage.

• spaCy

  • Fast NLP (Named Entity Recognition for PERSON, ORG, GPE, etc.)

• scikit-learn (Mentioned)

  • For future machine learning features (e.g., fraud detection, success prediction).

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⚙️ Configuration & Utilities

• Environment Management: python-dotenv

  • Loads .env variables like API keys in config/settings.py.

• Utilities:

  • logging, json, datetime, re: For logs, text processing, formatting.

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