Pocket Patrol

Do you want the latest ML/AI technologies to predict how you can save? Are you tired of asking others questions, and wanna empower yourself and ask someone who doesn't judge! Check out Pocket Patrol!

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Inspiration

We have often seen the technical gap that the older generations face when they are working with the latest technologies. This restricts them from all the resources and knowledge that they can acquire using these technologies and leave them with not much choice but use the human resources. One such scenario is regarding financial literacy. Stats show many women depend on men to make any financial choices or any big purchases. The reason for that is the lack of knowledge and resources to learn about finance. To learn more about this they could use the internet, which could be less accessible to many due to the technology gap or they could ask someone else, but that is usually not an option as people feel judged. This makes people very dependant on others. After some research, most people who face this issue are women and senior citizens. Research shows most women feel comfortable asking questions to other women or their family members. But this makes them very dependent and sometimes they are treated badly if they ask a lot of questions. To empower them, we created this WebApp Pocket Patrol. So they can become more independent, learn about financial literacy, manage their finances and make their day-to-day life more accessible. With an easy UI and a target to serve people with limited tech knowledge, we want to build the gap and make our users feel more empowered.

What it does

While registering the user will choose if they are the Chef or the Foodie of the family. If they are the Chef then they will choose the number of family members they have and their usernames. Once logged in the following functionality is provided:

Current Financial Situation and Daily Accessibility Income/Expense Tracker: The user will be able to track all their expenses and incomes by entering the name of the item/service along with a price + for income, - for expense. The user will also be able to add specific dishes and cost per person for more functionalities.

2) Adopt Behaviours and Changes

Figure out where are you spending the most right now and where you can save. For instance spending x amount of money for food or transport and predictions on how much you will end up spending if you continue this way. Moreover, where you can save, if you are spending x amount of money transporting in public transit. Then if you were to buy a car you will be spending the y amount. The application will show quotes from different insurance companies to compare and choose the best options. The application will use your current trends to predict how much you will spend in the next few years, while if you take any other option, how much will you save in the next few years.

3) Personal Assistant Whenever you have any questions regarding anything or any questions regarding your financial literacy, you don’t have to feel uncomfortable asking it to anyone else or feel judged. You can simply ask the in-built personal assistant who will be able to answer any of those questions, questions could be as simple or as complex, there is no stupid questions in Pocket Patrol.

How we built it

React application using Google Cloud Speech-to-Text on a NodeJS backend hosted on a DigitalOcean VPS utilizing a Python script with Tensorflow for trends prediction.

Challenges we ran into

Working in a team with a different skillset and deciding on what technologies to use Working in different timezones Integrating multiple technologies together and facing many configuration issues Implementing multiple features in a limited time Training the application with a lot of different datasets Working with unsupported API’s Getting Microphone to work on Mobile Browser using Vanilla JS Making a team at last minute, as the original team didn’t show up

Accomplishments that we are proud of

Despite all the challenges we were still motivated to make something and create a product to demo The hishschooler in our team was able to get a valuable experience and learn more about industry technologies and how they are used

What we learned

It’s a learning process, even if you can’t achieve everything you will still learn a lot Always have a team in advance and keep in touch to confirm they all are still going to attend New frameworks, using Machine Learning/AI for predictions. Making an in-built voice assistant.

What's next for Pocket Patrol

We want to use advanced ML/AI algorithms to predict how the user is using the tool and understand their habits, so we can provide them with better suggestions on how they can improve and save money We want to integrate an insurance calculator which can get specifics of the car model, and give specific quotes and using this calculator from different companies can tell the user which is the best option to go with We want the voice assistant to understand the data in the app and the users information and talk to user as a person and while giving information refer to the user’s specific details We want to train our tool with the data, so it can become better at predictions

React application using Google Cloud Speech-to-Text on a NodeJS backend hosted on a DigitalOcean VPS utilizing a Python script with Tensorflow for trends prediction.

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