Health Care

• Computer aided disease detection and prediction based on patient genetic profile, lifestyle, medical condition and test results. 
• Interpretation of the continuous monitoring of patient vital parameters like heart rate, blood pressure, glucose level, electrolyte & other critical parameters. 
• Recognition of speech, vision, body movement and response to identify neurological disorders. 
• Automatic interpretation of patient radiological images like CT scans & MRI reports.
• Recommendation of further medical tests and possible treatments based on patient symptoms & test results. 
• Quicker, cheaper and effective discovery of drugs & invention of medical equipments through reducing the time to analyse vast amount of patient data, fast tracking potential solution & clinical trials and improving outcomes.

• Recommending and grouping movies based on user profile & viewing patterns. 
• Auto generated sports highlights for telecast based on player emotion & special sorts and audience reactions. 
• Auto composition of new music based on voice, audio and pattern recognition of existing music. 
• Reading people leaps to add audio to silent movies. 
• Adding colour to images and videos based on the objects & contexts inside them.
• Auto editing & enhancement of images, videos and movies.
• Auto generation of image captions based on image recognition techniques. 
• Write a nice bio about each executive that includes what they do, how long they’ve been at it, and what got them to where they are.

• Detecting dangerous work environments by identifying absence of scaffolds, handrails & barriers for employees working in height, identifying dangerous man machine interactions or identifying flammable objects and possible electrical fires. 
• Video footage raising alarm for sudden movement indicating a possible fall or accident and identifying the location, thus enabling faster response.
• Detecting if employees are wearing correct PPE for each working condition based on video footage and machine learning algorithms.
• Predicting equipment breakdowns for preventing possible equipment failure and risk to the operator.
• Video footage raising alarms when employees enter dangerous locations or they come near to moving machines or hazardous objects.
• Detecting hazardous activities like unregulated traffic near machines, clutter in the workplace or absent-minded employees engaged in other activities.
• Deploying robots with artificial intelligence capabilities to replace humans in dangerous jobs.

• Warning the police officers in advance of any potential risk, threat and areas of concern. Notifying the officers of any irregular movement, suspicious activities or dangerous objects through sensors and cameras fitted around them.
• Providing help is solving criminal cases by connecting the dots and discovering hidden relationship between the data obtained from video, photographs, statements,  forensics and other pieces of evidence.
• Providing support in searching for potential criminals, missing people or missing objects by scanning video feeds through facial and object recognition techniques.
• Predicting crimes by identifying unattended bags in crowded places or identifying suspicious people or people with dangerous objects.
• Identifying formation of crowds in live video feeds, counting the size of the crowd and tracking the movement of the crowd.
• Solving crime cases by identifying patterns in the crime like crime carried out by similar person or using similar modus operandi.
• Helping predicting policing by predicting where the crime might occur, who might commit the crime and who the victim will be.

• Shooting down enemy soldiers, aircrafts, tanks & sub marine by identifying them and predicting their next movement, location and distance.
• Providing coherent picture by combining data from different sensor feeds and warning commanders of the blind areas in their areas.
• Scanning drone & satellite video feeds to identify suspected terrorists, insurgents and military build ups at borders.
• Understanding public sentiments during war and war like situation from web site searches, social media posts, tweets and comments.
• Supporting logistic planning by solving complex allocation problems and recommending optimum number solders, vehicles, tanks, aircrafts and their paths.
• Tracking and engaging missiles or other adversaries before a strike occurs.
• Operating vehicles, tanks and aircrafts in mountains and other unknown places and in adverse weather conditions to avoid any crash.
• Deploying drones with artificial intelligence capability to execute military tasks in dangerous locations and situations.

• Providing customised news and contents by search engines & social medias based on user profile and interest. Deep learning learns user interest from web searches, tweets, comments & buying behaviour and matches news and contents accordingly.
• Automatically summarising the news and coming up with breaking news by analysing  huge amount of news sources like published articles, press releases, social media posts, comments, videos and all sorts of unstructured contents.
• Finding content engagement rates and understanding hidden patterns to improve engagements rates by automatic scanning through all the media channels.
• Automatically generating news articles and contents and assigning titles and images to them in a way that the same can be used and appreciated by users.
• Filtering out fake or inappropriate news and contents by automatically scanning the source, language, images & videos used and the comments associated with them.
• Optimising news business operations and profitability by using machine learning algorithms to track unfolding of news and improving reporter assignment, content editing, advertisement sourcing & user engagement.

• Making customized learning plan for each student based on his ability, need and style of learning. 
• Identifying learning disability by collecting and analysing learning pattern and test results.
• Automatically generating relevant assignments and tests by scanning through countless study materials. 
• Automatic evaluation of student answer paper and giving feedback to students and parents on learning deficiencies and recommendations.
• Computer aided student evaluation and admission process avoiding human bias and effort in student selection and admission.
• Guiding students through the learning process and giving feedback to make the learning enjoyable and effective.
• Learning assistant (including voice assistant) giving automated answer to individual student’s questions.
• Automatic translation of teacher lecture to student own language enabling the student to access courses from around the world.
• Automatically creating / updating learning contents based on latest news, articles, publications and job posting advertisements.
• Identifying customised training requirement for each teacher based on students learning pattern, feedback and test results.

• Manufacturing robots assembling cars and industrial equipment or placing & shifting of materials in manufacturing processes.
• Mining & construction robots engaged in dangerous mining jobs and carrying out construction & repair work in hazardous locations.
• Logistics robots engaged in handling, packing, quality control and shipping in warehouses and retail stores.
• Marine robots engaged in repairing sub marines, sunk ships, oil leakages & other underwater projects and robots engaged in identifying under water deposit of oil & other natural resources.
• Space robots for navigating in unknown territory and doing works relating to space research and space exploration.
• Household robots for cleaning houses, doing gardening work, assisting elderly people and managing household appliances.
• Healthcare robots performing precision surgeries relating to heart, brain, eye &  other critical organs. Physiotherapy related robots supporting patients in gaining physical strength & balance post injury.
• Autonomous vehicles for moving passengers and cargo by automatically recognising and reacting to traffic situation, traffic rules & road condition.  
• Drones used in war for locating enemy locations and launching aerial attacks, drones used for traffic monitoring & security surveillance, drones used for locating people trapped in natural disaster and distributing relief materials and drones used for delivering products by e commerce companies.

Sales & Marketing

Operations 

• Reducing equipment downtime by improving predictive maintenance. Proactively identifying maintenance requirement by continuously monitoring equipment vibration, temperature, pressure, moisture, sound & other parameters by using IOT connected devices and detecting anomalies through machine learning algorithms.
• Automatically recommending equipment specific maintenance solution by identifying patterns in the equipment usage and its physical condition.
• Predicting equipment remaining life based on trend in equipment usage, maintenance and its current condition.
• Automatically reminding regular maintenance jobs to the operations team and periodic maintenance jobs to the central maintenance team (including alarms & voice messages). 
• Identifying the best time to do the repair job, recommending the best way to do the repair and identifying all those repairs which should  be done together so that the machine is not opened again.

• Chatbot & voice assistants providing human like customer service experience addressing customer queries and complaints.
• Identifying fraudulent transactions in debit card, credit card and other banking transactions through anomaly detection technology.
• Detecting forged signatures in cheques and other banking documents.
• Predicting fraud through detecting unusual login attempts.
• Assessing customer credit risk while sanctioning loan and predicting customer defaults based on repayment history and changes in economic conditions.
• Reducing document digitisation cost using machine learning algorithm.
• Automatic KYC data verification by checking the legitimacy of customer online & offline social data and customer email, telephone number and IP addresses.
• Automatically recommending customers to avail various banking services based on customer transaction history. For example, detecting unusual money receipt and suggesting a time deposit or reminding customers of regular payments.
• Improving mobile banking through using fingerprint, facial and voice recognition technology in bank login.

• Supporting farmers in selecting crops, seeds & fertilisers based on soil and weather conditions.
• Predicting upcoming weather conditions months ahead and proactively alarming famers of any adverse or favourable situation.
• Improving harvest quality by using sensors and deep learning technology to identify and recommend solution to solve nutrient deficiency in soil, plant disease, pest, weed and poor plant growth.
• AI enabled drones to identify crop condition over a large cultivated area.
• Using agricultural robots for planting seeds, spraying insecticides to control pest and harvesting crops with higher speed and accuracy.
• Autonomous irrigation machine to apply optimum water quantity based on soil condition, moisture level, plant stage of growth and plant density.
• Sorting farm produce using computer vision technology to segregate products based on different quality parameters.
• AI enabled food quality & safety monitoring by quality and food control agencies.
• AI enabled quality monitoring system to detect quality defects and food safety issues in farm produce and processed foods,
• Using facial and object recognition technology to track employees who are not using hats, masks & gloves and not following personal hygiene protocols while processing and delivering foods.

• Predicting disasters like earthquake, tsunami & cyclone and their magnitude based on continuous monitoring and analysis of ground motion and temperature, pressure, moisture in the air.
• Identifying cracks, abrasions and defects in roads, bridges and high-rise buildings using AI enabled drones, to avoid collapse and injuries through timely repairs.
• Detecting anomalies & obstructions in roads, railway tracks, airways and shipping tracks to avoid accidents and loss of life.
• Improving disaster response efforts once an advancing cyclone or hurricane is known, like correctly deciding how many people needs to be evacuated, where they need to be evacuated, how much food and other essentials are required. Improving
• Reducing post disaster repair time by quickly identifying the extent of damage to roads, bridges, electric lines and telephone lines through drone & satellite images.
• Predicting road train and air traffic situation based on delays and change in weather condition and automatic readjustment of the route plan to avoid accidents.
• Analysing public sentiments after a disaster through public tweets, posts and comments and channelizing rescue and relief operations where required.

• Chatbots providing human like customer services like answering customer queries and booking flights & hotel rooms.
• Robots at airports and hotel counters providing flight and hotel related information to customers, supporting check ins and handling customer baggage.
• Improving service levels by summarizing customer feed backs and the strengths & weaknesses of competitors by scanning through huge amount of data from online reviews & comments.
• Online travel booking agencies providing customers with comparative analysis of price, facility and reviews by scanning data from various airlines and hotels.
• Automated dynamic pricing based on season, major events and remaining inventory.
• Automated travel & holiday recommendations based on individual customer profile and web site searches.
• Improving airport securities through using face recognition technology in airport entries and check ins.
• Supporting customers in on time rescheduling of flight, car & hotel booking based on weather forecast or immediate information on stranded travellers & tourists.
• Automatic rescheduling of flights & trains and communication to the travellers about the new timing based on weather forecast or break down & delay in any flight or train.
• Predicting requirement of airport infrastructure, flights and hotels based on trends in customer travel history.
• Google maps providing direction maps to reach the destination and informing about any accidents & traffic jams and the expected time of arrival. Additionally, providing details of nearby hotels, petrol pumps and tourist attractions etc. on the route.
• Language translator with natural language processing & voice recognition technology supporting clients in communicating in foreign countries and mobile camera scanners to understand what is written in restaurants, malls and in local sign boards. 
• Virtual reality providing tourists with real life experience of tourist spots including the scenic beauty, mountains, rivers, roads, building, people and the entertainment activities before they decide on the tourist places.