LeadClassification (scoring_engine.py)

Main Scoring Engine - Orchestrates intent, engagement, and sentiment scores. Calculates composite lead score by combining: - Intent Score (33.3%): Interest, objections, timeline - Engagement Score (33.3%): Duration, questions, objections handled, response rate - Sentiment Score (

# Source: https://github.com/Rahul-8283/Sambhaash_AI | License: Apache-2.0 | Copyright You must retain, in the Source form of any Derivative Works
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Main Scoring Engine - Orchestrates intent, engagement, and sentiment scores.

Calculates composite lead score by combining:
- Intent Score (33.3%): Interest, objections, timeline
- Engagement Score (33.3%): Duration, questions, objections handled, response rate
- Sentiment Score (33.3%): Emotional tone, trajectory

Classifies leads into HOT/WARM/COLD based on composite score:
- HOT (≥0.75): High-quality leads ready for RM handoff
- WARM (0.50-0.74): Nurture candidates for WhatsApp messaging
- COLD (<0.50): Low-priority leads for future follow-up

Also triggers RM assignment if H

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