🚀 InsurAI

📄 Document with uptiq screenshots

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📌 Key Features

1️⃣ Demographic-Driven Recommendations

🔹 Identifies untapped customer segments (age, location, occupation).
🔹 Uses clustering and Gen AI insights to recommend tailored insurance products.

2️⃣ Real-Time Parametric Triggers

🔹 Dynamically adjusts coverage and pricing based on:

• Real-time data from weather APIs
• Health wearables
• Behavioral pattern analysis
  🔹 Ensures adaptive risk management and personalized policies.

3️⃣ Autonomous Claims & Fraud Detection

🔹 Automates claims processing by analyzing documents against IRDAI guidelines.
🔹 Detects potential fraud, ensures compliance, and generates underwriting summaries.

4️⃣ Chatbot for Insights

🔹 Answers strategic queries (e.g., “Which policies are underperforming?”).
🔹 Uses company data to:

• Compare market trends
• Optimize pricing
• Forecast future claim surges
• Perform risk profiling

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🎯 Why It Was Implemented?

✅ Demographic-Driven Recommendations – Helps insurers tap into new customer segments by offering personalized policies based on age, location, and occupation, leading to increased market reach and customer engagement.

✅ Real-Time Parametric Triggers – Ensures adaptive risk management by dynamically adjusting coverage and pricing based on external factors like weather conditions, health metrics, and behavioral patterns, reducing underwriting risks and enhancing customer trust.

✅ Autonomous Claims & Fraud Detection – Speeds up claims processing while reducing fraud by cross-checking claims with IRDAI guidelines, ensuring compliance, and providing detailed underwriting summaries for informed decision-making.

✅ Chatbot for Insights – Empowers insurers with AI-driven strategic insights, helping them identify underperforming policies, optimize pricing based on market trends, forecast future claims, and enhance risk profiling.

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🏗️ Tech Stack Used

📌 Frontend:

• React.js

⚙️ Backend:

• Python
• Flask / FastAPI
• Uptiq

🔗 APIs Used:

• OpenWeather API
• Gemini

🗄️ Database:

• Firebase
• MongoDB

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📊 Project Flowchart

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🚀 Current Progress with Screenshots

💰 Pricing Analysis

📊 RAG Analysis 1

📊 RAG Analysis 2

🔍 Competitor Analysis

⚙️ Claim Processing

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Changes after Mentor Suggestions :

Implemented RAG for health premium adjustment based on health data .