Automated B2B lead capture and qualification system with AI scoring, Tally integration, and Airtable CRM
-
Updated
Dec 20, 2025
#
ai-scoring
Here are 3 public repositories matching this topic...
FastAPI backend service for lead qualification using rule-based scoring + AI reasoning. Accepts product offers and CSV leads, scores buying intent (High/Medium/Low) with dual-layer logic, exports results as JSON/CSV. Features Gemini AI integration, CORS support, Docker deployment, and robust error handling.
docker error-handling python-api swagger-docs cors-enabled csv-processing gemini-api render-api fastapi lead-qualification retry-logic b2b-sales ai-scoring heuristic-fallback
-
Updated
Sep 18, 2025 - Python
AI-powered mock interview platform with automated scoring, role-based questions, modern React UI, FastAPI backend, and a fully implemented freemium SaaS architecture.
machine-learning-application technical-interviews fastapi skill-evaluation ai-tools assessment-platform interview-simulator ai-scoring
-
Updated
Dec 13, 2025 - Python
Improve this page
Add a description, image, and links to the ai-scoring topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ai-scoring topic, visit your repo's landing page and select "manage topics."