I love to travel and explore new places so I’m working on this tool to help me do more of what I love

Traditional recommendations systems often overlook individual preferences, geographical convenience., and budget limitations, resulting in a flood of irrelevant suggestions unless specified. This information overload exacerbates the challenge for users seeking meaningful and personalised suggestions. By addressing this issue by deeply analyzing users’ lifestyles, leveraging social media interactions and financial patterns to make recommendations that are genuinely suited to them.

The global recommendation engine market (reference) in 2021 was approximately 3 Billion USD but in 2030 is predicted to be 54 Billion USD. This growth is propelled by the adoption of advanced technologies, such as artificial intelligence and machine learning, across retail, media and entertainment, healthcare, IT and telecommunication, and other sectors to enhance customer experiences through personalised recommendations .Personalised recommendations significantly enhance user engagement and satisfaction and according to McKinsey, personalisation can deliver 5x - 8x times the ROI on marketing spend and lift sales by 10% or more. Also, a study by Google indicates that "near me" searches have seen a significant increase, with over 500% growth in "near me" mobile searches that include a variant of "can I buy" or "to buy" over the last few years.

Money + Me, combines your bank information, what you like on social media and where you are, to help you budget better. It’s not just about saying money, it also suggests places to eat, shop, and things to do that you’ll probably like based on what you do and like online. For example, if you often spend money at restaurants and like a lot of posts to do with a vegan lifestyle, it might suggest budget friendly spots nearby or vegan cooking classes. These are the categories it would look into: Food ( groceries, meal delivery services, coffee shops, restaurants, pubs & clubs), entertainment ( movies & events, hobbies & activities, travel & outings, media & gaming), clothing & accessories ( including footwear), personal care ( haircare, grooming & styling, physical health, mental health, intellectual simulation) and other ( gifts & donations. pet care, home decor & furnishings, electronics & gadgets). In practice, It would help to support local businesses and communities too by pointing you too nearby spots.

I’m looking at some interesting edge cases such as what to do if a recent bank history only shows supermarket transactions what to purpose and how to interpret that information. As well, as the concept of an “initiator” a person who wants to make plans with someone and how the experience would change accordingly, among other things (such as technological advancements like banking APIs) but it works :)