SESAME is an app that is designed to help the user to bundle their receipts in a structured way and to show them their spending behavior using key figures and statistics. Receipt informations can be entered by the user or captured manually via a scanning function combined with an optical character recognition algorithm. By assigning categories, the expenses can be grouped, statistics can be derived and a deeper understanding of one's own spending behavior can be obtained.

App Features:

• Capture and store receipts with mobile camera using scan and OCR
• Receive receipts with a QR Code-reader
• Manual receipt entry
• Categorize expenses
• View statistics on spending behavior
• Select a specific date or time frame to view expenses and receipts within that time
• User authentication and authorization (Signin/Login)

Please note that this is a prototype and some of the features are still a work in progress or not yet started in development.

Prototype:

https://drive.google.com/file/d/1UP-SVKw-xuTmclCz4X0vuqLFXO_lsBVO/view

Technologies used:

• Figma
• NodeJS
• ReactJS
• Material-UI
• MongoDB
• ReactJS
• Python
• Notebook

How to:

Set up

1. Clone the repository wt23-sesame to your local repository: $ git clone https://github.com/TechLabs-Berlin/wt23-sesame.git

2. Requirement

• NodeJS
• Express
• MongoDB & Mongo Shell
• Mongoose
• NPM

Run backend

1. Run npm i (add --legacy-peer-deps if necessary)
2. Run npm express mongoose react (if need)
3. Run mongosh to start the MongoDB server
4. Run node index.js to start Node.js sever

Run sesame-app

1. From the top-level directory "wt23-sesame", change folder to access the React server by running $ cd sesame-app
2. Run $ npm install to install the app and dependencies
3. Run $ npm startto run the app

Participants:

Data Science

• Cristina
• Oliver

Web Developement

• Linh (BE)
• Sneha (BE)
• Shalva (FE)
• Lu (FE)

Mentors

• Bogdan Ciobotaru
• Lina