CODEEDOC

InovoCB is a web-based platform designed for diamond manufacturing and trading businesses. It helps manage everything from rough and polished diamond purchases to packet creation, stock tracking, expense management, and financial reporting. 

Challenges & Solutions : 

Challenge:
Diamond packets can be split, merged, or created — it was hard to make sure that prices and weights stayed accurate. 
Users needed to manage more than one company from the same account, without mixing up their data.

Solution: 
Create backend logic that carefully tracks every change and checks that totals are always correct.
We allowed users to switch between companies easily while keeping each company’s data separate and secure. 

Result: 
✔︎ No missing data or wrong totals 
✔︎ One account, multiple companies  

Fingerprint is a mobile app built with React Native that lets users record short videos and answer meaningful questions to save and share personal memories. It’s like a digital memoir for capturing emotions and stories.

The app uses a Node.js backend and Cloudinary for smooth video storage and playback, making it easy to connect with loved ones. 

Challenges :
- Managing large video files without slowing down the app or increasing storage costs.
- Long upload times could frustrate users and delay video sharing.

Solution :
- Used Cloudinary for real-time video compression and smart delivery to keep quality high and costs low.
- Implemented real-time encoding and compression, speeding up uploads and playback without compromising video clarity.

Check-out the case study : https://www.codeedoc.com/case-studies/finger-print/ 

A modern music platform that helps artists manage their song releases, music rights, and royalty payments, all in one place. It also makes it easy for artists to connect with fans and grow their audience.
Built to bring transparency and simplicity to the music industry. 

🎯 Challenge : 

Handling real-time royalty calculations and splits between multiple collaborators was tricky. The system needed to accurately track who owns what part of a song, how much money is earned, and make sure everyone gets the right share it, all without slowing down the platform.

💡 Solution:

I built a custom royalty engine using Node.js that automatically calculates earnings for each artist based on predefined splits.We used MongoDB to store flexible data structures, and added caching and optimized queries to keep everything fast, even when many users are active.

-> Result: 

✅ Accurate royalty tracking for every artist
✅ Fast performance, even with complex data
✅ Easy to update or adjust splits if needed 

Cureceptive is a healthcare app that brings together patient records from different hospitals and clinics. Doctors can create digital prescriptions and store patient data securely. The app also sends medicine reminders and alerts to help patients follow their treatment plans and get better care across different providers 

Challenges : 
- Integrating with Multiple Hospital Systems : Connecting different hospitals and clinics to one platform was difficult due to varying data formats and systems.
- Ensuring Data Security and Compliance : Protecting patient data while following healthcare laws like HIPAA and GDPR was critical. 

Solution : 
- We built flexible APIs to connect with various hospital and clinic systems, enabling smooth data sharing and centralized access to patient records.
- Implemented strong encryption, region-based data separation, and role-based access control to protect data and stay compliant with global privacy laws. 

Case study : https://www.codeedoc.com/case-studies/cureceptive/

Online video streaming and sharing app, it is a similar concept as TikTok and has a variety of features for video creation and sharing.

Client Requirement

The client wanted a video Streaming app similar to Tiktok where users can create and share clips of 30, 45, or 60 seconds and long 10 mins videos. He wanted to have multiple features like hashtags, trends, and preference-based suggestions.

Challenges

During the project development, there were many problems which were encountered, as for implementing AR stickers and advanced video editing features, one of the major issues which we faced was making the stream as smooth as possible.

Solution

We used several external libraries to make the app experience as smooth as possible and also implemented mux for streaming videos, which made the streaming experience much smoother and also we implemented other AR sticker libraries.

An online food ordering system is a food ordering application that is designed to place an order without calling or visiting busy restaurants. Whether it’s the comfort of your home or an office, your cravings can be satisfied by just selecting the food and restaurant with this application. The application has an admin panel, delivery boy panel, restaurant panel, and customer panel. Thus, appealing UI/UX and easy to use components enable food lovers to order and receive food at their doorstep.

Client Requirement

After doing a lot of research and consulting with various companies, our client came to us and discussed their food ordering idea with us. There were various things that the client wanted in a food ordering application and for this, he needs the help of an expert technology partner. After hearing the client requirements, We started the study of project scope and project requirements to come up with the right way to turn their idea into reality.

Challenges

During the project development, project environment, technology curb and time constraint were the major challenges that we had worked on. The client wants that when the user browses the application, they will get preferred food items based on their recently searched or previously ordered items. The task was a little complex but was implemented by our team within the promised time frame.