We have created AI-powered mobile apps tailored to companies' bespoke data to track tasks performed by their field workers, local sales staff, grassroot-level operators, and surveying teams using AI models and tools developed by YARS. These AI-empowered apps can do things that were unimaginable with traditional mobile apps.

Use Cases:

1. Banks, NBFCs, and MFIs can track their Business Correspondents operations.
2. Insurance Companies can track if the agents are making due efforts or not.
3. FMCG, Manufacturing, Distributors, Wholesellers can track grass-roots level sales.

For a demo, please WhatsApp +91-9910883314.

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Using State-of-the-Art("SOTA") AI models like YOLOv8 and YOLO-NAS, we engineer specialized solutions to mitigate fraud by adeptly authenticating user presence and protecting product integrity from image spoofing, data spoofing, location spoofing, and counterfeit distribution.

Use Cases:

1. Retailer, Wholeseller and Customer can know if a product is counterfeit.
2. Employers can know if an employee has spoofed the software authentication system.
3. Survey Companies and Organisations can know if the survey happened actually or not or it has been proxied.
4. Insurance companies can use these AI models to detect fraudulent insurance claims, such as staged accidents and faked injuries.
5. Healthcare providers can use these AI models to detect fraudulent medical claims, such as claims for services that were never provided.
6. Banks and Financial Institutions can identify and segment the different parts of a credit card image, such as the card number, expiration date, and security code. This information could then be used to detect fraudulent credit card transactions.

For a demo, please WhatsApp +91-9910883314.

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Farmers and FPOs face significant barriers in direct sales to end-consumers and big players due to the lack of a reliable way to assess the quality of their produce, leading to substantial losses and delays. The most important use case according to us is Quality Assessment of Agri Produce and we have partially trained an AI Model for this. However, other important usecases which our AI Models solve are listed below:

Use Cases:

Object Detection:

1. Detect and count crops, fruits, and vegetables in fields and orchards.
2. Detect and identify pests and diseases.
3. Detect and identify livestock.
4. Detect and identify agricultural equipment.

For a demo, please WhatsApp +91-9910883314.

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Our AI tools seamlessly manages attendance for schools, colleges, universities, offices, and organizations. It also detects spoofing attempts and reports them to admins in real time. Our tools can be expanded to manage HRIS, integrating AI-driven processes and insights. We solve the following usecases using AI:

For a demo, please WhatsApp +91-9910883314.

Use Cases:

1. Attendance management: AI models can be used to develop attendance management systems that can automatically track employee attendance based on images and videos of employees entering and exiting the workplace. If some one tries to spoof the Facial Recognition based Attendance System using fake images, mobile screens, videos etc. the same is reported. These systems can also be used to generate reports on employee attendance and to identify trends.

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Our AI tools based on YOLOv8 and YOLO-NAS can be used to track inventory, detect theft, and improve customer service in retail stores. For example, the tools can be used to count the number of items on a shelf or to detect when a customer picks up an item without paying for it. Our AI tools cater to the following usecases:

For a demo, please WhatsApp +91-9910883314.

Use Cases:

1. Shelf management tools: Our AI models can be used to develop tools that can automatically detect and identify out-of-stock items, misplaced items, and counterfeit items on shelves. These tools can help retailers to ensure that their shelves are always stocked with the right products and to prevent customers from buying counterfeit items.

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Our AI tool can be used to detect defects in products, ensure quality control, and improve safety in manufacturing facilities. For example, YOLOv8 and YOLO-NAS can be used to detect cracks in welds or missing parts on a product assembly line.Following are some use cases which can be solved by our AI Models:

Use Cases:

Object Detection:

1. Detect defects in products, such as cracks, scratches, and dents.
2. Detect missing or out-of-place parts on products.
3. Detect foreign objects in products.
4. Detect incorrect packaging or labeling of products.
5. Detect employees not wearing proper safety gear.

For a demo, please WhatsApp +91-9910883314.

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Our AI powered Facial emotional reading tools can be used in a variety of industries, including customer service, security,healthcare, and education. These tools can be used to analyze facial expressions and identify emotions, which can provide valuable insights into people's thoughts and feelings. Following are some of teh usecases handled by our AI Models:

For a demo, please WhatsApp +91-9910883314.

Use Cases:

1. Customer service tools: Our AI-powered tools can be used to help customer service representatives understand and respond to the emotions of their customers. This information can be used to provide better customer service and resolve customer issues more quickly and effectively.

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