HARIRAM BABU

FLOOD RISK MANAGEMENT USING ML

• 1. Designed a Flood Risk Management System (FRMDSS) combining machine learning with hydrological models for accurate flood prediction.
• 2.Integrated real-time IoT data (rainfall, river levels, soil moisture) to improve flood risk forecasts.
• 3. Supported resource planning and disaster response with real-time risk assessment and user-friendly interface.

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Vimeo

HEART DISEASE PREDICTION USING ML

• 1.Developed a predictive model for heart disease risk assessment using patient data such as age, cholesterol, and blood pressure.
• 2.Applied machine learning algorithms, including logistic regression and random forests, to achieve accurate predictions.
• 3.Aimed to support early diagnosis and preventive healthcare by providing reliable risk assessments

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DIGITAL BILLING APPLICATION

• 1.Developed a responsive web application using HTML, CSS, and JavaScript to create a digital Bill Application allowing users to browse items categorized by the user.
• 2.Implemented interactive features for user products, prices facilitating easy navigation and Save the Product then generateing Bill.
• 3.Designed a user-friendly interface with seamless navigation between product categories and order pages, enhancing user experience and accessibility

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Coffee Sales Prediction

• 1. Developed a machine learning model to predict coffee sales trends using Python and scikit-learn, leveraging historical sales data and seasonal factors.
• 2. Implemented data preprocessing techniques, including handling missing values and scaling, to improve model accuracy and reliability.
• 3. Designed an interactive dashboard using Flask and Chart.js, allowing users to visualize sales predictions and analyze trends by region, time, and product category.
• 4. Enhanced user experience by integrating real-time prediction capabilities, enabling informed decision-making for inventory and marketing strategies.

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