Investor Data Entry

To research, list and upload details of all funding sources (public and private) in OECD countries including but not limited to grants, equity, credit, mezzanine offered by governments, private equity, venture capital, angel groups, family offices, trusts, NGOs, social enterprises, incubators, accelerators and HNIs, targeted at start-ups, SMBs, minority businesses and Africa based businesses. The project shall list the funding source, type of funding, eligibility criteria, application process, application time frame, frequency and contact details (including location of source)

Culinary Compass: AI powered dining experience

Our company is revolutionizing the way people discover and enjoy dining experiences through AI and food science. We aim to enhance our platform by incorporating the latest AI/ML techniques to personalize restaurant recommendations and improve user engagement. We invite students to collaborate with us to apply advanced AI and machine learning techniques to our existing dataset. Students will develop AI/ML models that enhance user personalization, predict dining trends, and optimize restaurant recommendations. This collaboration will involve: Conducting background research on our platform and existing dataset. Analyzing our current dataset to identify patterns and opportunities. Researching the latest AI/ML techniques for personalized recommendations and predictive analytics. Developing AI/ML models that provide unique insights and enhance user experiences. Proposing multiple solutions for continuous improvement and innovation