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Give them a shot, they are sure to be fun!
So, converting written characters or digits into a digital format was challenging in the past for computers.
They also used to struggle at interpreting text on paper-based documents.
Although digitization is being rapidly adopted in almost every sector, certain areas still require paperwork.
For this, a convolution neural internet (CNN) is utilized for recognizing digits on a paper.
This internet has a HASYv2 dataset comprising 168,000 images from 369 different classifications.
This software has various applications like bank cheque authentication, reading filled forms, and taking quick notes.
Problem: Undoubtedly, autonomous vehicles are innovative technologies that use Deep Learning techniques and algorithms.
They have created new opportunities in the automobile sector and reduced the need for a human driver.
Solution: To solve this problem, build a system using the concepts of Computer Vision in Python.
Furthermore, its imperative to find the markings on a lanes both sides.
you could use computer vision techniques in Python to find the road lanes where self-driving cars should run.
Nest, the Hough line transformation is applied to finally detect the lane lines.
In addition, you could use other computer vision methods such as color thresholding to identify the lane lines.
software: Lane line detection is used in real-time by autonomous vehicles like cars and line-following robots.
Its also helpful in the gaming industry for racing cars.
But if proper treatment is followed, the mortality can be significantly reduced.
It increases detection and accuracy issues.
Solution: The software solution will be trained with massive details on pneumonia or other diseases.
It can usedata miningto provide the most precise disease corresponding to the patients details.
This way, a patients disease can be detected, and they can get proper treatment.
Identify their basic structure to start building a similar one.
you could move to advanced ones once you nail finished a simple chatbot.
NLP breaks down audio signals and human text and then analyzes and converts the data into a machine-understandable language.
Creating an intelligent and responsive chatbot will require different pre-trained tools, packages, and speech recognition tools.
Industries from eCommerce, Edtech, and real estate to finance and tourism use chatbots.
Problem: Competition is high across all domains, whether its eCommerce or entertainment.
And to stand out, you must cover extra miles.
Solution: Using a recommendation system can draw more visitors to your site or utility effectively.
When you open your Facebook or Instagram, you see similar products.
This is how a recommendation system works.
To build this system, you require browsing history, customer behavior, and implicit data.
Data mining and machine learning skills are necessary to produce the most suitable product recommendations based on customers interests.
And you will also need to program in R, Java, or Python and leverage artificial neural networks.
If the fire is not detected on time, it can lead to massive loss of life and property.
Wildfires are becoming more frequent; therefore, regular monitoring is needed to preserve wildlife and natural resources.
The fire detection system is improved through a surveillance camera.
For this, AI techniques like CNN and computer vision and tools like OpenCV are used.
It needs sophisticated image processing and cloud computing.
The system can be made to analyze images from video cameras for visible light and infrared.
It must also identify smoke, differentiate it from fog, and alert people quickly.
In addition, people are busy and need help in various fields, even for their day-to-day tasks.
Solution: Today, voice-based virtual assistants are in demand to simplify users lives.
To build this system, NLP is used to understand human language.
It will also identify users intent to perform the task accordingly and may use text-to-speech orspeech-to-text tools.
For businesses, it leads to reputation damage and bad search engine rankings.
In fact, people may also get penalized for plagiarism, owing to copyrights.
Hence, there is a need to identify plagiarized content for businesses and educational institutions.
Solution: AI concepts are used to build a plagiarism checking tool to detect duplication in a document.
It can also show the plagiarism percentage.
There has been a lot of research for decades to comprehend facial emotion.
Before the advent of AI, the results were all over the place.
Solution: AI can help analyze human emotion through face using the concepts like Deep Learning and CNN.
The system will be made capable of extracting facial features and classifying expressions.
Although English is a global language, not everyone understands it in every part of the world.
Similarly, if you travel to other countries, it’s possible for you to face similar problems.
For this, you might use a translator such as Google Translate.
However, you’re free to build your own app from starch using AI.
For this, you might utilize NLP and transformer models.
It will encode and decode words from end to end.
To do this, loading a pre-trained Python-based transformer model will help you.
you could also use the GluonNLP library and then load and test the datasets.
Its time-consuming and inefficient.
Although it can be automated through keyword matching, it has many disadvantages.
AI and ML can help you build the app to choose a suitable candidate while filtering out the rest.
you could also use NLTK a Python-based library to build clustering algorithms to match skills.
It may cause privacy issues, data leaks, and reputational damage to people and businesses.
Its also used by Identity and Access Management (IAM) providers, the defense sector, and more.
They also find trouble tracing the stocks and making the sold-out products available again.
utility: Its used by eCommerce stores, retailers, distributors, and other businesses dealing with massive products.
These are not only tedious but also take away productivity.
It can also be made to deliver in-time notifications so you might do tasks on time.
And building this system requires skills like NLP, facial recognition, computer vision, and more.
It will also help you sharpen your skills in programming and using tools and technologies in the projects.
