> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/5.0-influx-ai-use-cases-and-applications/5.1-use-cases.md). # 5.1 Use cases ### Basic Use cases For users, Influx ▪︎AI is a tool that uses AI agents to provide life services to users. AI agents can collect user data and organically integrate it with commercial data in the market to help users match the most suitable products according to their needs, such as clothing, food, medical care, transportation, hotels, and answers to daily difficult questions. Users can get exclusive and customized AI assistants. Because there is a large amount of data for training, this is undoubtedly the assistant that understands users best in the world. All the functions we will show next are integrated in the same assistant, and it is almost impossible. Influx ▪︎AI is a tool for enterprises to solve their customer acquisition problems. Influx ▪︎AI provides an entry interface, allowing business entities to reach users who best match their product application scenarios and user profiles, and then facilitate services. InfluxAI will use the user's data to train an exclusive AI assistant while ensuring privacy and data security, and then provide users with a full range of life services to help users save a lot of time and energy. ### Function 1: User basic data collection AI Assistant * Function description: Users need to input personal data (basic information, facial scan, height and weight, eating habits, daily routine, etc.) into our multimodal model, and then generate an AI assistant that is exclusive to the user and knows him very well, to assist him in his daily life and solve most of the time-wasting problems. * Technical implementation: We use our own trained multimodal model to learn user data and then perform local storage and memory, so as to achieve an extreme understanding of users while protecting user privacy. **AI celebrity/Internet celebrity assistant** * Function description: Introduce global influencers as virtual assistants on a large scale to provide users with 1-on-1 customized services (let Li Jiaqi be my personal skin care assistant, let Wang Jiaer choose clothes for me) * Technical implementation: We use the GPT-4o model as the main content output framework, and use its output content with the lip shape model to make the assistant appear vividly on the user's mobile phone. ### Function 2: Dressing and fashion assistant **AI OOTD Recommendations** * Function description: By analyzing the user's body shape, image preferences, the weather in the user's area, the user's occupation and other information, Ai recommends providing users with suitable daily dressing plans, including clothing, accessories, etc., to meet the user's personalized needs. * Technical implementation: Based on multimodal and deep learning algorithms, AI recommendation learns user preferences and fashion trends from massive fashion data, and provides users with accurate dressing suggestions through model training and optimization. **AI Wardrobe Assistant** * Function description: AI Wardrobe automatically matches the user's clothing inventory and provides suitable dressing plans based on the user's daily activities and climate factors, improving the efficiency of dressing before going out. * Technical implementation: AI Wardrobe uses image recognition and data analysis technology to classify and manage users' clothes, generate personalized dressing suggestions based on users' personal preferences and external environment, and improve user experience and satisfaction. **Wear photos and take your own beautiful photos** * Function description: AI recommendation provides users with suitable dressing solutions, including global products, clothing, accessories, etc., to meet the personalized needs of users. Users can use the dressing solutions generated by AI as a basis for DIY transformation and personalized customization to achieve their own unique fashion style. * Technical Implementation: The outfit photo plan combines image processing and editing technology. Users can adjust and add elements to the outfit plan to achieve personalized customization and improve user participation and creativity. ### Function 3: Diet management assistant **Find nearby food** * Function description: The AI ​​assistant will remember the user's eating habits and help the user search for food that suits the user's taste near the user's geographic IP. * Technical implementation: Traditional recommendation algorithm + continuous learning reinforcement + LLM assistant provides feedback reinforcement after each meal. The AI ​​assistant will ask for your opinion after recommending good food to you, and correct the data, so as to recommend better food to you next time. **Healthy eating assistant** * Function description: AI assistants have learned the most advanced nutrition knowledge in the world and can control body shape through diet. Users who need to lose weight will receive tailored diet plans, and users who want to gain muscle and exercise will also receive tailored high-energy packages. Users can take photos of food to know how much energy is in the food, and then the assistant will remind them which energy intake is excessive or insufficient that day. * Technical implementation: Study relevant literature and match and compare it with data in the surrounding business environment to find out the diet version that can be purchased directly. ### Function 4: Health Assistant **Skin Beauty Assistant** * Function description: The AI ​​assistant will provide targeted skin care solutions based on the results of the facial scan, especially for people with poor skin, and will give advice on life and diet. It will also connect to the products of medical beauty companies and provide offline appointment and other supporting services. * Technical implementation: The portrait model performs static analysis on the human face and, combined with the medical beauty database, gives the most reasonable suggestions for facial care. **Basic medical consultation** * Function description: With only pictures of the patient's body or description of the disease, the AI ​​assistant can solve most medical problems in life, and directly give medication recommendations or connect directly to nearby hospitals. * Technical implementation: The multimodal model's ability to read images can solve most minor illnesses in life after learning from medical-related databases. ### Function 5: Travel Assistant **Hotel Assistant** * Function description: The AI ​​assistant will remember the user's hotel preferences and automatically help the user select a hotel with a style and price that is closest to the user's past habits based on the geographic IP. * Technical implementation: Use the database that users have previously reserved on various websites for training. ### Function 6: Enterprise entry interface **Enterprise settlement** * Functional description: Business entities can enter the Influx ▪︎AI ecosystem through the backend interface. Business entities need to provide basic information about their products, past sales data, accurate user portraits, etc. The user's AI agent will interpret the data and better display it to users. * Technical implementation: Commercial entities need to purchase $IFAI tokens to reach users.