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I need to complete a project managing short videos in React, node.js, and MySQL DB. aspects: * Users auth and managing history * Login through SMS verification * Managing video storage on AWS S3 buckets * An admin control panel uploads video files * Merge short videos by categories * Provide basic video editing tools for trimming, merging, and adding effects. This is the specific documentation: NOTE: you will work with a Backend developer to help you with the storage managing and the API's requests. Backend Requirements for Cognitive Workout App 1. Video Categorization • Types of Cognitive Workout Videos: o Warm-up: Short exercises to warm up joints and muscles. o Coordination: Tasks that enhance coordination. o Story: Engaging narratives that stimulate cognitive processing and comprehension. o Dance: Rhythm or pattern-based exercises for memory and coordination. o Gym: More intense physical training o Main Exercise: The core cognitive workout, based on the user’s mental training needs, including a short test • Video Attributes: o Each video should have attributes: Duration, difficulty level, type (solo, couple, or group), cognitive area focus (memory, coordination, logic, etc.). A timestamp of when the video was last viewed. Video duration must be stored to assist in time-based session planning. 2. Time Management and Exercise Flow • Time-Based Video Selection: o A full workout session is structured as follows and lasts approximately 38 minutes: 1. Warm-up (3 min) 2. Coordination exercise (3 min) 3. Four main exercises (7*4=24 min) 4. Dance exercise (5 min) 5. Gym exercise (3 min) o Minimum time (7 minutes): If the user only has 7 minutes, the session will include one main exercise. o More time available: 1. If more than 7 minutes is available, the session should first add a warm-up before the main exercise. 2. With additional time, a coordination exercise will be included right after the warm-up. 3. If further time is available, add a dance exercise after the main exercise. 4. If there’s more time, add a gym exercise after the dance. 5. For even longer sessions, add additional main exercises after the first one, until the session reaches the allocated time. o The app must always prioritize including the main exercise, adjusting the other components accordingly based on the time available. 3. Video Selection Logic • Selection Pool: o The app should pull videos based on the user's input (time, difficulty, solo/couple/group) and always include a main exercise. • Seen vs. New Videos: o Ensure 70% of videos are new (or not recently seen). o 30% should be videos the user has seen before (or seen a long time ago). o Use timestamps to track video history and manage familiarity vs. novelty. 4. User Entry & Phone Verification • Phone Number Registration: o The main screen prompts users to enter their phone number. o Users receive an SMS with a verification code. o The user inputs the code back into the app for authentication. • User Profile Creation: o After verification, new users are prompted to provide additional details: Name, age, cognitive goals (e.g., memory improvement, problem-solving, etc.), preferred difficulty, and group type (solo/couple/group). o This information helps the app tailor future workouts to the user’s preferences. • Returning Users: o Recognized via their phone number, allowing the app to pull their existing profile and tailor sessions based on their past usage and progress. 5. User Data and Workout History • Track each user's history of completed workouts, including: o Video usage frequency, timestamps, and performance in tests (optional). o Ensure balanced workout sessions with both familiar and new exercises based on this history. 6. Admin Panel for Video Uploads • Admins must be able to upload new videos with ease. • Video metadata (duration, difficulty, type, target group, cognitive focus) is required upon upload. • New videos are automatically added to the selection pool for users. The UI should be feature-rich and detailed. The UI should be basic, focusing on functionality over design complexity.
Project ID: 38735609
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