1.
ARTHUR ESHUN MARTIN
ADS22A00053Y
Email: ads22a00053y@ait.edu.gh
2. DOH SELASE WISDOM
ADS22A00046Y
Email: ads22a00046y@ait.edu.gh
CAPSTONE PROPOSAL TOPICS
Topic one
Designing and Implementing an Intelligent AI-Driven personal Finance Tracker app
The synopsis of the proposed Topic
Title: Designing and Implementing an Intelligent AI-Driven personal Finance Tracker app
Background:
Financial management is a critical aspect of personal and organizational success. Effective
financial management enables individuals and businesses to make informed decisions, optimize
resources, and achieve their financial goals. However, traditional financial management systems
often rely on manual data entry, spreadsheets, and cumbersome accounting software, leading
to inefficiencies, errors, and limited insights.
Objectives:
1. To investigate the potential cost savings and return on investment of
implementing the proposed system.
2. To develop an intelligent expense tracking module that categorizes, records,
and analyzes expenses.
3. To implement a personalized AI driven financial recommendation system
that provides users with tailored financial advice.
4. To evaluate the user acceptance and satisfaction of the proposed system
among individuals and businesses.
Methodology: Agile Development
Agile methodology makes it easier to build and develop an intelligent AI-driven
financial management and expense tracking system iteratively, flexible, and
collaborative nature making it an excellent methodology for projects that involve
complex, evolving technologies such AI.
Expected Result
The system is expected to improve financial management efficiency by automating tasks,
reducing manual errors, and providing real-time financial insights.
Also, to enhance financial decision-making by providing predictive analytics, identifying areas
for cost optimization, and offering personalized financial recommendations.
Lastly, the system is expected to improve financial planning and budgeting by providing
personalized financial recommendations, identifying areas for cost optimization, and offering
budgeting and forecasting tools.
Topic Two
Development of an AI-Powered Job Matching Platform for Efficient Talent Acquisition and
Career Development
The synopsis of the proposed Topic
Title:
Development of an AI-Powered Job Matching Platform for Efficient Talent Acquisition and
Career Development
Background:
The traditional job matching process is often time-consuming, biased, and inefficient, leading to
poor candidate experiences and low job satisfaction rates. The emergence of Artificial
Intelligence (AI) and Machine Learning (ML) has created new opportunities for developing
intelligent job matching platforms that can revolutionize the recruitment industry.
Methodology
Agile methodology makes it easier to build and develop an intelligent AI-Powered Job Matching
Platform for Efficient Talent Acquisition and Career Development iteratively, flexible, and
collaborative nature making it an excellent methodology for projects that involve complex,
evolving technologies such AI.
Objectives:
1. To design and develop an AI-powered job matching platform that leverages ML algorithms
and natural language processing (NLP) techniques.
2. To evaluate the effectiveness and efficiency of the platform in matching candidates with job
openings.
3. To investigate the impact of the platform on candidate experiences, job satisfaction rates, and
talent acquisition outcomes.
Expected Outcomes:
1. A fully functional AI-powered job matching platform that leverages ML algorithms and NLP
techniques.
2. A comprehensive evaluation of the platform's effectiveness and efficiency in matching
candidates with job openings.
3. Insights into the impact of the platform on candidate experiences, job satisfaction rates, and
talent acquisition outcomes.
Topic Three
Designing and Implementing a Blockchain-Based E-Voting System
for Secure and Efficient Elections
The synopsis of the proposed Topic
Title:
Design and Implementation of a Blockchain-Based E-Voting System for Secure and Efficient
Elections
Background:
Blockchain technology presents a groundbreaking solution for Ghana's electoral challenges,
offering a secure, transparent, and efficient voting system. By leveraging blockchain's
decentralized and immutable nature, the Electoral Commission of Ghana can ensure the
integrity of votes, preventing tampering and manipulation
Methodology: Agile Development
Agile methodology makes it easier to build and Implement a Blockchain-Based E-Voting
System for Secure and Efficient Elections iteratively, flexible, and collaborative
nature making it an excellent methodology for projects that involve complex,
evolving technologies such AI.
Objectives:
1. Design and Implementation: Design and implement a blockchain-based e-voting system that
ensures security, integrity, and transparency.
2. Security and Efficiency Evaluation: Evaluate the proposed system's security and efficiency in
conducting elections.
3. Comparison with Existing Systems: Compare the proposed system with existing e-voting
systems to identify its advantages and limitations.
Expected Outcomes:
1. Secure and Efficient E-Voting System: A blockchain-based e-voting system that ensures
security, integrity, and transparency.
2. Improved Voter Trust: Increased voter trust in the electoral process due to the system's
transparency and accountability.
3. Reduced Electoral Disputes: Reduced electoral disputes due to the system's ability to ensure
accurate and transparent vote counting.
4. Reduced costs: e voting system reduced costs of printing ballot papers, buying inks, paying
electoral representatives and many more.
Topic Four
Designing and Implementing a Mobile App for Mental Health Support and Well-being
The synopsis of the proposed Topic
Title:
Designing and Implementing A Mobile App for Mental Health Support and Well-being
Background:
Mental health issues are a growing concern in Ghana, with millions of people struggling
with anxiety, depression, and other mental health conditions. The stigma surrounding
mental health issues in Ghana can prevent people from seeking help, exacerbating the
problem. Mobile apps offer a promising solution for providing mental health support
and wellness services to Ghanaians.
Key Challenges in Ghana:
1. Limited Access to Mental Health Services: Ghana has a shortage of mental health
professionals, making it difficult for people to access help.
2. Stigma and Social Norms: Mental health issues are often stigmatized in Ghanaian
culture, preventing people from seeking help.
3. Lack of Awareness: Many Ghanaians are not aware of the signs and symptoms of
mental health conditions, making it difficult to identify and address issues.
Methodology: Agile Development
Agile methodology makes it easier to build Design and Implement A Mobile App for
Mental Health Support and Well-being iteratively, flexible, and collaborative nature
making it an excellent methodology for projects that involve complex, evolving
technologies such AI.
Objectives:
1. Design and Development: Design and develop a mobile app for mental health support
and wellness.
2. Feature Evaluation: Evaluate the features and functionalities of existing mental health
apps to inform the design of the proposed app.
3. User Engagement: Investigate strategies for promoting user engagement and
retention with the app.
Expected Outcomes:
1. A Functional Mobile App: A fully functional mobile app for mental health support and
wellness.
2. Improved Mental Health Outcomes: Improved mental health outcomes for users,
including reduced symptoms of anxiety and depression.
3. Increased User Engagement: High levels of user engagement and retention with the
app.
Importance:
The proposed research aims to contribute to the development of effective mobile apps
for mental health support and wellness. The findings of this study will provide insights
into the design and development of mental health apps, and will inform the
development of future apps.
