Situation Problem Scoping Data Acquisition Data Exploration Modelling Evaluation Greeting Card Recommendation Suggest the best greeting card for different occasions. Collect occasions (Birthday, Anniversary, Festival, Thank You, Get Well Soon). Group cards by occasion, age, relation, and color. Train AI to recommend a suitable card. Check if the suggested card matches the occasion. Shop Inauguration Invitation Create an invitation for different customers. Collect customer names, language, city, invitation styles. Categorize by language, age, and invitation type. AI generates personalized invitation cards. Verify whether customers receive the correct invitation. Homework Reminder Remind students to complete homework on time. Collect subject, homework, due date, and class timetable. Organize reminders by subject and deadline. AI sends reminders automatically. Check if reminders are sent correctly and on time. School Library Book Suggestion Recommend books to students. Collect students' interests and available books. Group books by subject and difficulty. AI recommends suitable books. Check if students find the recommendations useful. Attendance Monitoring Identify students with low attendance. Collect attendance records. Calculate attendance percentages. AI predicts students at risk of low attendance. Verify prediction with actual attendance. School Canteen Food Suggestion Suggest healthy lunch options. Collect menu, nutrition, and student preferences. Categorize healthy and unhealthy foods. AI recommends healthy meals. Check student satisfaction and nutrition. Bus Route Planning Find the best bus route for students. Collect student addresses and bus stops. Group students by nearby locations. AI assigns students to the nearest bus. Verify travel time and route efficiency. Weather-Based Dress Suggestion Suggest appropriate clothing. Collect weather data and clothing types. Categorize weather conditions. AI recommends suitable clothes. Check if suggestions match the weather.
Situation Problem Scoping Data Acquisition Data Exploration Modelling Evaluation Movie Recommendation Recommend movies based on interests. Collect movie genres and user preferences. Group movies by genre and ratings. AI suggests suitable movies. Ask users if they liked the recommendations. Online Shopping Recommendation Suggest products customers may like. Collect browsing history and purchase records. Identify buying patterns. AI recommends similar products. Check if customers purchase the suggested products. Music Recommendation Suggest songs based on mood. Collect songs, genres, and moods. Categorize music by mood. AI recommends songs. Ask users whether recommendations suit their mood. Career Guidance Suggest suitable careers for students. Collect marks, interests, and skills. Compare strengths and interests. AI recommends career options. Verify recommendations with counselors or students.