Artificial Intelligence Research Topics and Ideas
Developing AI system, emphasising physiological, text and speech data to assess and detect mental health issues
Aim:
The aim is to develop the AI system, emphasising physiological, text and speech data to assess and detect mental health issues, providing potential early support and intervention.
Objectives:
- To generate AI model to emphasis on speech patterns for early discovery of mood disorders
- To build text analysis in identifying signs of depression and anxiety in written communication
- To use physiological data to make predictive AI tool for intervention in mental health issues.
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Improvement, efficiency and safety of autonomous cars in urban environment
Aim:
The aim is to enhance the efficiency and safety of autonomous cars in urban environments.
Objectives:
- To identify the process of safety and efficiency of autonomous cars
- To adopt predictive algorithms to deal with the behaviour of other users
- To explore the challenges and barriers faced in managing safety and efficiency of autonomous cars in urban environment
Enhancement of trust and transparency in AI-driven decisions in healthcare sector
Aim:
The aim is to increase the trust and transparency in AI-driven healthcare decisions.
Objectives:
- To identify the transparency and trust issues in AI-driven environment
- To explore the challenges and barriers faced in managing AI-drive environment in healthcare decisions
- To investigate the strategies to overcome those issues to tackle the decisions in healthcare sector
Enabling Drone to navigate complicated in urban environment autonomously
Aim:
The aim is to assess the drones to navigate the complex environment autonomously, such as Uneven Terrain, limited GPS and low light conditions
Objectives:
- To train a reinforcement learning agent to manage wind conditions and dynamic obstacles
- To build a collision avoidance mechanism that combines traditional control and deep RL methods
- To discuss the issues associated urban environment such as Uneven Terrain, limited GPS and low light conditions
Accelerating Procedures of drug discovery using Artificial Intelligence
Aim:
The aim of this study is to accelerate the process of drug discovery by using Artificial Intelligence
Objectives:
- To make deep learning frameworks to predict drug-target associations with high accuracy
- To form a generative framework for making novel drug related molecules
- To enhance virtual screening method to overcome experimental drug test
Enhancing the efficiency of personalised learning experiences
Aim:
The aim is to improve the effectiveness of personalised learning
Objectives:
- To build an AI-Powered learning based adaptive platform to individual needs of student
- To adopt natural language process to offer automated response on written tasks
- To emphasis on the influence of personalised education on academic performance and student involvement
Leveraging Artificial Intelligence to deal with the challenges and barriers in climate change
Aim:
The purpose is to leverage the artificial intelligence to address the challenges and barriers associated with climate change
Objectives:
- To develop predictive framework to improve the consumption and production of renewable energy
- To form Artificial Intelligence based strategies for the reduction of carbon footprint in industries
- To generate a system to combat and monitor deforestation by using Artificial Intelligence and satellite imagery.
Improving the speed and accuracy of medical diagnostics in healthcare sector of the UK
Aim:
The aim is to enhance and improve the speed and accuracy of medical diagnostics in the UK healthcare sectors
Objectives:
- To educate deep learning framework to inspect rare diseases from medical imaging information
- To adopt real-time diagnostic assistance for healthcare professionals
- To explore the challenges and barriers experience in improving the speed and accuracy of medical diagnostic
- To identify federated learning to make sure the privacy of patient data while enhancing diagnostic frameworks
Improving mitigation strategies and risk assessment of AI in financial institutions
Aim:
The aim is to improve the mitigation strategies and risk assessment of AI in financial institutions.
Objectives:
- To build the predictive framework to explore potential financial issues and market anomalies
- To develop the explainable Artificial intelligence systems for fraud detection and regulatory compliance
- To examine the incorporation of block chain and Artificial intelligence to transparent and secure financial transactions.
Promoting ethical Artificial intelligence development and Mitigating Bias
Aim:
The aim is to promote the ethical AI development and alleviate bias.
Objectives:
- To generate the ethical framework and guidelines for Artificial intelligence deployment and development
- To identify the challenges face in promoting ethical AI development and mitigating bias
- To build the mitigation strategies and bias detection for Artificial intelligence systems
- To educate the AI practitioners and public and raise the awareness and assure bias issues
