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About Me ● Upcoming Gen AI Engineer Intern at Certkor.ai ● Masters Student, Mila, Canada ● IBM Champion Data & AI | IBM Z | Today's Architects ● Google Developer Expert in ML | Cloud Champion Innovator ● 204 Tech Talk Shows across the Globe | Author of 2 Books

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AI Model Chain ● An AI model chain refers to a sequence of interconnected models that work together to achieve a complex task. It involves multiple steps, each building upon the previous one to process data, make decisions, and generate outputs

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1. Sentiment Analysis and Recommendation System ● Task Sentiment Analysis : Model BERT ● Task Recommendation System : Model Collaborative Filtering or Content-Based Filtering 2. Image Classification and Object Detection ● Task Image Classification : Model ResNet ● Task Object Detection : Model YOLO (You Only Look Once)

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3. Medical Diagnosis and Treatment Recommendation ● Task Medical Diagnosis : Model CNN or LSTM ● Task Treatment Recommendation : Model Reinforcement Learning 4. Fraud Detection and Prevention ● Task Anomaly Detection : Model Autoencoder ● Task Fraud Classification : Model Random Forest or SVM ● Task Fraud Prevention : Model Reinforcement Learning

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AI Model Chain for the pregnancy Risk Assessment

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Let’s understand our data Key Features in the Data ● Age: Age of the individual. ● SystolicBP: Systolic Blood Pressure (mm Hg). ● DiastolicBP: Diastolic Blood Pressure (mm Hg). ● BS: Blood Sugar level ( mmol/L). ● BodyTemp: Body Temperature (°F). ● HeartRate: Heart Rate (beats per minute). ● RiskLevel: The risk level of maternal health, categorized as high risk, mid risk, or low risk.

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What we are going to do We developed an AI-powered maternal health support system that leverages advanced machine learning models to provide personalized care and risk assessment. By analyzing user-provided health data and emotional input, the system offers tailored recommendations, early risk detection, and multilingual support.

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