PriceScouting Database Data Visualization Project

GigEfx Labs is seeking to develop a database for its PriceScout, a shoppping intelligence application. The requisite for such, is a large dataset thorough data collecting, cleaning to ensure accuracy and reliability. The project aims to provide learners with the opportunity to apply their data collection, management and analytical skills to real-world data. The goal is to collect and transform raw data into a clean, structured format that can be easily visualized and interpreted. This project will involve identifying and correcting inconsistencies, removing duplicates, and filling in missing values. Once the data is cleaned, learners will create visualizations that effectively communicate key insights and trends. This project will help GigEfx Labs improve the user experience of its PriceScout application by providing clearer and more actionable data insights.

Upkeep: AI-Enabled Maintenance Connection App

The project aims to develop a prototype for Upkeep, an AI-enabled mobile application designed to streamline the process of connecting users with skilled technicians for maintenance and odd jobs. The app will allow users to post job requests, receive matches with available technicians, and review job details, all within a user-friendly interface. The goal is to create a seamless experience that simplifies the management of maintenance tasks, from job posting to payment processing. By leveraging AI, the app will enhance the matching process, ensuring users are paired with the most suitable technicians based on their specific needs. This project provides an opportunity for learners to apply their knowledge in mobile app development, user interface design, and AI integration, focusing on creating a functional prototype that addresses real-world challenges in the service industry.

AI-Powered E-Supermarket Platform for Local Vendors

GigEfx Labs aims to empower small-time local vendors by developing an AI/ML-powered commodity market integrated into their e-supermarket platform. The project seeks to create a user-friendly digital marketplace where local vendors can easily list and sell their products. The platform will leverage AI/ML algorithms to optimize product listings, enhance search functionality, and provide personalized recommendations to users. This initiative will help local vendors reach a broader audience and increase their sales potential. The project will focus on creating a seamless vendor onboarding process, ensuring data privacy, and maintaining a secure transaction environment. By applying classroom knowledge of AI/ML and e-commerce systems, learners will contribute to a meaningful project that supports local economies.

Data Visualization for Business Insights

Ptarium is seeking to enhance its ability to communicate business challenges through effective data visualization. The project involves using data extraction, transformation, and preparation techniques to convert raw data into meaningful insights. The goal is to create visual tools that can clearly convey complex business issues to stakeholders. This project will allow learners to apply their knowledge of data processing and visualization tools, such as Python, R, or Tableau, to real-world business scenarios. The tasks include identifying key data sources, cleaning and preparing data, and designing interactive dashboards or visual reports. The project aims to improve decision-making processes by presenting data in an accessible and understandable format.