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FACIAL recognition is a technology capable of recognizing a person based on his face. In simple terms, a facial recognition algorithm works in the following WAYS:

• The facial detection system takes photos as input.
• The system reads your facial features. Facial features used by different systems can differ. Some facial features used by these systems to distinguish a face are- the distance between the eyes, the length of the forehead, the contour of the eye socket, the shape of nose and chin, the position of any mole, etc.
• The algorithm verifies your face. It encodes your face into a signature (a vector of information in the form of numbers). These numeric codes are also called faceprints which are analogous to Fingerprint in contact biometric systems. Each code distinguishes the individual from the rest of the training dataset. During the face detection procedure, the feature vector is then utilized to look across the whole DATABASE of enrolled people. The system then compares the signature with the database of stored images, looking for a potential match. The database contains all the information on the users who have signed up. If the software finds a match for an exact feature in the database, it displays all the information about the person.
• If any match is found, the system takes further action. For example, it can grant access to the system if the user is registered.

Artificial Intelligence is the new trending guy in town with a bright future. AI influences MANY spheres of our lives and will continue to drive change in the computing world. I sincerely hope that this article answers the questions you were looking for.

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A chatbot is a computer program that simulates and processes human CONVERSATIONS. They can interact with us just like any other real person. Chatbots can be a basic program that answers a query in a single line or can be sophisticated assistants that can LEARN and evolve to attain an increasing level of personalization as they gather and PROCESS information.

Chatbots have now developed to a level where they can chat with a person without giving the impression that they are talking to a ROBOT. They can work continuously 24*7 even when the customer support executives of organizations are not around. Furthermore, they can harness the power of data and can properly address the grievances of the customer. Therefore, chatbots can be deployed to deliver the best customer support and can decrease the cost of customer service of an organization CONSIDERABLY.

E-commerce giant Amazon uses a concept called collaborative filtering to achieve this. Collaborative filtering is a process of comparing the users with similar shopping behavior in order to suggest products to other users with similar shopping behavior. The engine makes predictions of what might interest a user based on the preferences of other users, and all it has is DATA. The data it contains INCLUDE users browsing history, recently ordered products, wishlisted products, etc.

For example, a sales record shows that a certain number of people who buy a phone ALSO buy tempered glass ALONG with them. So if next time a user buys a smartphone, he will receive a recommendation to buy a tempered glass as WELL.

AI can assist Farmers in the following ways:

Artificial Intelligence in Farming

• USING AI for intelligent spraying of chemicals- Every day, farms generate hundreds of data points about temperature, soil, water use, weather, and other factors. This data is used in real-time with the use of artificial intelligence and machine learning models to derive important insights such as when to sow seeds, which crops to plant, which hybrid seeds to plant for higher yields, and so on. Precision agriculture is a TERM used to describe how AI systems are helping to enhance overall harvest quality and accuracy. AI technology aids in the detection of plant disease, pests, and poor agricultural nutrition. AI sensors can detect and target weeds, then determine the best HERBICIDE to use in the area. These sophisticated AI sprayers can substantially reduce the amount of pesticides needed in the FIELDS, improving the quality of agricultural output while also reducing costs.
• Using AI-based robots for farm harvesting- Many businesses are attempting to increase agricultural efficiency. Autonomous strawberry-picking machine1 and a vacuum system that can harvest mature apples from trees are examples of products. Sensor fusion, machine vision, and artificial intelligence models are used by these devices to locate harvestable produce and assist in picking the proper crops.
• Predicting the best time to sow- The difference between a successful harvest and a failing one is just timely information on a single data point: seed sowing timing. To tackle this, AI can use a predictive analytics technique to determine the best time to sow the seeds for optimal yield. In addition to a 7-day weather forecast, it provides information on soil health and fertilizer recommendations.
• Crop yield prediction and price forecast- The major concern for many farmers is the unpredictability of crop prices. Farmers are never able to DESIGN a fixed production schedule due to fluctuating pricing. This issue is particularly widespread in crops with short shelf lives, such as tomatoes. Companies are assessing land and monitoring crop health in real-time using satellite imagery and weather data. Companies can detect pest and disease infestations, estimate tomato output and yield, and forecast prices using technologies like big data, AI, and machine learning. They can guide the farmers and governments on the future price patterns, demand level, type of crop to sow for maximum benefit, pesticide usage, etc.

We can use the following techniques to promote our business.

• Sales forecasting- Through AI, we can check what customers want and how many quantities have been sold.
• Get customer insights- The valuable insights gained from the costumes will be very helpful to expand your business later on.
• Personalized customer experience- Use AI to CRAFT offers and SUGGESTIONS for every individual. BASED on the things people have searched and things that people have bought, You can create a personalized FEED for your customer.
• Marketing- AI tools can be used to create powerful content and advertisements for your brand.
• Customer support- A happy customer is a loyal customer. Customer support is crucial for any business. AI-powered Chatbots can be deployed to assist customers. Speech recognition applications can get customers what they want.
• Dynamic pricing- It is a pricing strategy based on the factors such as demand and supply. AI can be used to monitor cookies, search history, and other ACTIVITIES to offer real-time pricing. The most common example of AI offering dynamic pricing is the ride-sharing apps, where the price rises when the demand for the cabs is high.