BudgetTech

FinTech ChatBot

Tools and Technology's Used

1- Application Tools 🎯

• In the backend we used is Flask Python web framework which help us to use the AI model.
• In the frontend for now we used pure HTML,CSS and JavaScript.
• The database we used is Postgres database, is open source database and best option for microservices.

2- AI Tools 👾

• On AI side we used Tensorflow tool on Python for training and testing the model.

3- Containerization & Microservices 🐬

• We are running the application as container using Docker, which help us fast building and running on any environment.
• We manage the containers by using Kubernetes, which help us to create cluster for the application and implement the CICD and high availability by scaling the nodes.

4- CI/CD ♾️

• We implemented the continuous integration and continuous deployment (CI/CD) methodology, which help us to automate the testing & deployment the new changes. Below is the flow diagram of CICD.

• We used GitHub Action for integration and to running the automation pipelines
• For delivering the new build to production, we used ArgoCD, which help us syncing the GitOps and deploy it into Kubernetes cluster.

5- Cloud Deployment ☁️

• We used Alibaba Cloud to host our application. Below is the infrastructure diagram of our application.

• We used Terraform tool for automate the infrastructure building on Ali cloud.

Running The Application Using Docker 🐬

To run the application, you should have Postgres running first, below example of running Postgres database with Docker.

docker run -d -p 5432:5432 -e POSTGRES_PASSWORD=hardpass123 -e POSTGRES_USER=ricko -e POSTGRES_DB=chatbot postgres:14 pg_db

After running Postgres db, you ready now to run our project. Clone the repository on your machine.

git clone https://github.com/Ahmad-Faqehi/budge-tech.git
cd budge-tech/

Start build the docker image by following execute the following command.

docker build ./application/ -t budget-tech

After finish the building, you can start the container using the following command.

docker run -d -p 80:5000 -e DB_HOST=pg_db -e DB_NAME=chatbot -e DB_USER=ricko -e DB_PASSWORD=hardpass123 budget-tech

Now, you can access the application by opening the following url:
http://localhost/

Acknowledgments ✨

Thanks goes to these wonderful people who made the impossible done

• Samirah Alhusayni
• Abduljawad Kuaitan
• Shahad Alameel
• Abdullah Alshamrani

Contact

Ahmad Faqehi - @A_F775 - [email protected]

Project Link: https://github.com/Ahmad-Faqehi/budge-tech