Top 7 Artificial Intelligence Project Ideas

Artificial Intelligence (AI) is a method which empowers the already existing machines to reduce the interventions of human beings. This method is being adopted in several areas where the intelligence of human beings are required. Those areas include emotion recognition, speech recognition, decision taking, language translations, authentication schemas, health care diseases classifications, etc. AI method is of much importance owing to its diverse capabilities, which is predicted to develop progressively. As a result, many top MNCs like Apple, IBM, Accenture, Wipro, etc. have already started shifting their attention towards the deployment of AI. 

For each of the application serving AI-based method, certain features/ tools/ concepts will be needed for building it. For instance, the famous applications like Spotify, JioSaavn, etc. are found deploy this very technique of AI. In this article, we will be making the students to know and understand the features/ tools/ concepts by listing the top 7 artificial intelligence project ideas. 

Curating the Top 7 Artificial Intelligence Project Ideas to learn and gain expertise:

1. Design and Evaluation of a Deep Learning Algorithm for Emotion Recognition 

As the research towards the emotion recognition is gaining attention, many advanced methodologies are being devised in order to make the emotion recognition systems more robust and effective.

While recognizing the emotions in a human beings, it is important to capture and recognize maximum possible emotions of them in order to built a accurate emotion recognizing system. Thus, it is much desirable to recognize much known human emotions like disgust, fear, surprise, angry, neutral, sad, and happy with the deployment of AI- Artificial Intelligence methods like deep learning methodology.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, human facial attributes, deep learning, Security, Natural Language Processing (NLP), Neural Networks, Machine Learning, Probability, Statistics, TypeScript, etc. 

2. Image Classification of Rice Leaf Diseases Using Random Forest Algorithm 

As we live around the pollutants almost everywhere, it is much obvious for the flora to contract diseases. As numerous diseases are immense, there is a need to distinguish between every disease to figure out the preventive measures.

This research attempts to classify between two floral diseases like BLB- Bacterial Leaf Blight Disease and BSR- Brwon Spot Rice Disease with the help of well-known AI methodology known as RF- Random Forest.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, Security, plant kingdom, Machine Learning, Natural Language Processing (NLP), Neural Networks, Probability, Statistics, TypeScript, etc.

Must Read: Deep Learning Final Year Projects

3. Secure Authentication using Iris, Face and Signature 

Security concerns are always prevalent in almost every application/ sector, which needs to be prevented in order to ensure safeness. 

For building a much-enhanced safety providing authentication system, features of signature, face, and iris of the eye could be used to train and implement a multiple layer authentication scheme using the CNN- Convolutional Neural Network.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, Machine Learning, security systems, attributes related to the authentication schemes, Security, Natural Language Processing (NLP), Neural Networks, Probability, Statistics, TypeScript, etc. 

4. Automated Food image Classification using Deep Learning approach 

The consciousness of food that we people take in everyday need to be there always as it could help in imparting benefits towards the medical and health caring sectors. 

In this research investigation, various food items could be easily categorized from the context of health by using the well-known deep learning methodologies like VGC-16 and SqueezeNet.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, Security, food science, deep learning, Natural Language Processing (NLP), Machine Learning, Neural Networks, Probability, Statistics, TypeScript, etc.

Read: Top 7 Machine Learning Projects for B.Tech

5. Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster 

The diseases caused in the skin of the human beings are immense and thus the classification of it is indeed needed in order to prevent the patients to develop severe conditions like skin cancer.

This research work could be taken up with the primary aim of classifying the skin ailment like Herpes Zoster from the rest of the skin related ailments using the ensemble of DNN- Deep Neural Network to adopt proper treatment strategies.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, Machine Learning, medical system, Security, DNN, Natural Language Processing (NLP), Neural Networks, Probability, Statistics, TypeScript, etc.

6. Whole Slide Images Based Cervical Cancer Classification Using Self-Supervised Learning and Multiple Instance Learning 

The identification of cancer is of much importance as the cancers need to be well treated in order to reduce the cancer deaths.

The WSI- Whole Slide Images of the cervical region in the human body could be well investigated by using the enhanced learning methodologies to classify the cancer if available.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Learning methods, Exploratory data analysis, Human physiology, healthcare systems, Security, Natural Language Processing (NLP), Neural Networks, Probability, Statistics, TypeScript, etc. 

Also Try: Mini Projects for Computer Science

7. Forgery Numeral Handwriting Detection Based on Convolutional Neural Network 

The rates of forgeries have increased a lot along with the technological evolvements. So, there is a necessity to develop and make use of advanced detection methodologies to prevent several illegal and forgery activities attempted by the recent age fraudsters.

With the deployment of CNN, an advanced and enhanced forgery detection system could be developed for the sake of identifying and reducing the numerical handwriting forgeries attempted by the fraudsters, which is much superior than the conventional machine learning methodologies.

For the sake of execution of any kind of project relying on the AI and its related adaptions, it is very much essential to learn and gain expertise around the skillsets/ concepts like Data Science, Python, Java, Scala, several models, Exploratory data analysis, Security, forensic science, Forgery recognition, CNN, Natural Language Processing (NLP), Neural Networks, Probability, Statistics, Machine Learning, TypeScript, etc.