The aim here is to develop an AI-powered CRM system that automates lead capture, prioritisation, and follow-ups, reducing manual effort and improving sales efficiency. By leveraging machine learning, predictive analytics, and intelligent automation, the system helps businesses optimise their sales pipeline, enhance customer engagement, and drive higher conversion rates.
🧲 Smooth Lead Information Scraping
📊 Context-Aware Lead Scoring
💬 Sentiment Analysis of Conversations
📅 Adaptive Follow-up Scheduling and Automated Mail Send
📈 Sales Forecasting & Pipeline Health Check Dashboarding
🔗 ERP Integration for Unified Business Operations
- Frontend: React, JavaScript, HTML, CSS
- Database: Supabase (PostgreSQL-based)
- Lead Scoring Model: Random Forest (Scikit-learn)
- Sentiment Analysis: NLP-based classification model
- Automated Email Generation: GPT (OpenAI API)
- Web Scraping: Python scripts (BeautifulSoup)
- Dashboarding & Reporting: React-based UI (optional integration with Power BI)
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 Abhinav Maity 
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 Soumya Singh
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 Akshay Kumar
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 Anushka Srivastava
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