Mission Overview
Smart Logistics is a logistics related project where stocks and orders are being created and on basis of past deliveries some forecastings are done.
Key Features
Inventory Management
Manage your inventories as per their warehouses, get low stock alerts
Role-Based Access Control
Different permission levels for admins, analyst and delivery boys
Forecasting
On the basis of previous deliveries forecasting such as delivery time will be made.
Reorder Recommendation
Get recommendations on when to reorder stock based on demand forecasting.
Challenges & Solutions
Building models
Building models is not the ultimate goal, you need to train them and I think to get that accuracy was kind of a difficult task.
Solution: Models accuracy will increase when you add more and more of data. You need to create a python script to feed in large quantity of data, once done your ML model shall work well. I wouldnt say that it will give you 100% correct, but it'll be 80% accurate.
Deployment
This was the first time I deployed a python backend on cloud and literally it tested my patience but at the end everything went well.
Solution: You have to go through youtube videos, documentation, AI especially when you are a debutant for deploying backend services.
UI development
You complete the backend test it on Postman and you feel okay cool done, but when you come for the frontend part especially UI, thats something where I feel my hand is tight and I have to improve more. Fortunately for this project AI helped me.
Solution: I used AmazonQ for building UI, writing functionality like context etc I did myself but for interface I will be honest I used AI. But realizing this and seeing my dependancy on AI I have taken an oath to make my hand stronger for frontend and code by myself even if it requires me to understand/learn concepts from scratch.