Custom Software Development

Overview: The Client was in need of our expertise to develop an interactive online platform for historical education centred around the survival stories of prisoners in the concentration camps during the Communist era in Bulgaria. The general idea was to allow the users to have a virtual video conversation with the survivors by asking questions and receiving the

best answer from a pre-recorded set of answers to the most popular questions. They had drawn inspiration from a similar project about stories from Nazi-Germany concentration camps, but they didn't have the technical know-how on how to achieve it. A similar platform can be seen here. We worked in cooperation with multiple teams engaged with filming the interviews, video processing and graphic design.
 

Solution:

Phase 1 - Planning

We started with thorough planning of the questions for the interviews and the recording process since the team had only a couple of days to spend with each person and there was no room for mistakes. Every person had to be interviewed according to a prepared script and asked a very specific list of more than 500 questions such as "What is your name?", "What is your favourite colour?", "What do you remember about World War II?" and others.

Phase 2 - Data preparation

The video post-processing team took the challenging task to cut and edit the raw videos into a set of several thousand video answers. Our job was to categorize all of the video data by a weighted keywords approach and implement an algorithm that would match the keywords in the user question with the categorized answers in the database.

Phase 3: Algorithm development

Taking into account the grammar specifics for the English and Bulgarian languages, we made several configuration iterations to adjust the weights of the keywords and improve the performance of the algorithm. A team of internal and external testers helped to verify the results by trying out a large number of questions with different wording variations. All of the tests were monitored and actively used to constantly improve the algorithm. 

Once the platform recorded enough real-user data, the plan was to introduce an AI language model to allow for even more realistic and insightful conversations with the survivors. We would still use the keyword-matching algorithm to compare and measure the AI model performance, which would need significantly more data than we initially had at the start of the project. 

Phase 4 - Website development

When the algorithm was ready we continued with integrating it into the rest of the platform where users can log in, keep track of previous chat sessions and find out interesting information and facts about that particular historical period for further evaluation.
 

Overview:
Sika Strength, a cutting-edge health, and lifestyle company, aimed to enhance athletes' performance. Specialising in tailored training programs, they sought a technology partner to build an app that could empower athletes to excel. Sika Strength's team was knowledgeable and throughout the whole process contributed with domain knowledge, including insights into fitness training methodologies, exercise routines, and user preferences, enriching the app with authentic and effective training content. 

Challenges:
A primary challenge was creating an app that is robust, and scalable, incorporating an AI-driven chatbot with no hallucinations while delivering an interactive, user-centric experience. The mutual inspiration between the teams catalysed creativity and dedication.

Solution:
CHILDISH.AI's dedicated team crafted the entire app, featuring advanced functionalities and an interactive chatbot powered by generative AI. The model leverages trained data to analyse datasets, proposing optimal responses. The chatbot streamlines customer support, enriching the user experience. Together, we've sculpted a seamless, intelligent training companion, harmonising CHILDISH.AI's technological prowess with Sika Strength's dedication to healthy living and sports.

Team: UX designer, front-end Developers (React & React Native), back-end Developers (Python & Django), Data Scientists, Solution Architect, QA, and Project Manager.
 

Overview: SpareFare is a UK start-up connecting people who have bought a flight ticket or a hotel reservation but cannot use it anymore, with people who want to buy a discounted ticket. Their team was looking for a development partner with top-notch engineers to help them build the complex architecture behind their platform. The platform had to include complex transactions between the different users and the back office.

Solution: When we joined the project, the client already had an existing platform. The scale-up of the business and the increasing number of clients required to have rebuilt from scratch while keeping the core functionalities and design. Our team had to create a scalable platform, add missing elements and features both in the user interface and the CRM.

The development involved the structure of multiple roles and permissions, payment processing through multiple sources, and payment approvals. The back-office team had to work in a well-structured and quick CRM which we built as a fully custom solution in order to respond to the dynamic requests. 

The system also involved multiple integrations with service providers. The biggest challenge was the exchange of constantly changing information about the price of flight tickets. The task required a highly experienced team of developers. Apart from the front-end and back-end development, we supported them with Cloud, DevOps and UX advisory at every step. Our data engineering team was actively involved as well so that the system was ready to grow in a predictive analytics platform in the future.

Team: The solution was built using Python development, React.JS development, Data engineering, UX, DevOps engineering, QA, and Project management.

Challenge: The task was to develop a solution for task management in production companies combined with extracting data from production machines through sensors and PLCs.

Team: Python developers, Angular developers, Data scientists, Computer vision experts, QA experts, DevOps, UX designer and PM

Solution: The solution was successfully developed for the MVP phase and continued to include computer vision combined with tasks, procedures and read-only registers from PLC controllers. Currently using Python OpenCV & YOLO object detector integration from IP camera stream to extract workers' movements around specific industrial areas. We collect data first to perform supervised learning in later stages.

Status: Currently, the software is being integrated into 3 production plants in Bulgaria.

Overview: One of our clients, an educational company, wanted to create a platform that would engage children in learning and promote reading habits among them. The challenge was to build a platform that had an exciting UX for the children and a complex back-end with multi-level users. The platform needed to allow children to play Q&A games based on books they had read, compete with other children, leave ratings for the book and communicate among themselves and within a group.

Solution: Our team started by developing the MVP and web version with a smaller team. After successfully completing the MVP, we made several major upgrades and the platform expanded to iOS and Android applications. The development process was intensive and required us to work within tight deadlines. Despite this, we delivered a smooth and efficient platform that worked with thousands of students throughout the country. 

One of the unique features of the platform was the ability for children to play Q&A games based on the books, compete in teams, leave ratings and comments and communicate with teachers, classmates, family members and other users. This not only made the learning experience more enjoyable but also helped to build a community of young readers. Furthermore, the platform functionalities included a virtual payment system with a custom gateway. 

During peak times the platform had over 20,000 users on the site, and it coped with the volume successfully. This was a testament to the scalability and reliability of the platform, which was designed to handle large volumes of traffic.
 

Status: Since the platform’s development in 2019, we have developed multiple upgrades and new modules, as well as mobile applications. Moreover, the clients are more than happy and thankful in partnering with us.

Challenge: A manufacturing plant with over 1200 workers was looking for a custom solution to organize their maintenance processes. The existing ERPs did not cover all requirements for the wide range of activities. This had increased maintenance costs and unpredicted downtime.

Client: ABB Bulgaria

Solution: For employees accustomed to filling a lot of documentation which is required both by both management and auditors, the new system was a completely new methodology. Using an agile delivery approach, we took time to define the requirements and listen to the users. The system was based on our Fabrico SaaS with improvements and custom upgrades adapted to the client. Our UX designers and product managers transformed the requirements into the system integrating all custom functionalities in the mobile applications for iOS and Android.

Adding QR code scanners to the existing processes was a disruptive moment and helped the team to increase their productivity and reduce the time needed to analyse data and complete maintenance tasks.

Over one year of operation, the team has already been saving time and having additional security in tracking information on repairs. Emergency repairs were reduced by 10% in a period of 6 months.

Services: Python, Angular, Mobile applications development, UX, QA, DevOps, PM

Overview: Our client, a healthcare scale-up, set out to improve their telemedicine platform's capabilities, enabling patients and healthcare practitioners to connect from a distance using innovative digital-first and high-touch technology. However, the main challenge was to upgrade and expand the platform while ensuring that the tens of thousands of patients and healthcare practitioners already using it could continue to access its functionality seamlessly.

Team: Our team of experienced Python and ReactJS developers worked together to create a seamless and intuitive platform for healthcare practitioners and patients.

Solution: Our team collaborated with the client's existing team to provide support and develop new features for their healthcare app. This app facilitates seamless communication between healthcare providers and patients, as well as other important healthcare stakeholders like hospitals, pharmacies, and healthcare funds.

To ensure the highest standards of privacy and security, our team implemented a comprehensive, HIPPA-compliant workflow that creates a repeatable care plan for each patient and clinical condition. The app offers a wide range of features and interactions, empowering patients to access healthcare services, track their health, and communicate with their healthcare providers with ease.

The app integrates with multiple healthcare devices, which collect and analyze patient data and provide valuable insights to healthcare specialists. With advanced analytics capabilities, the app enables healthcare providers to detect trends and patterns in patient data, allowing them to make better-informed decisions and provide high-quality care.

Despite the project's complexity, our team successfully tackled regular refactoring and ongoing improvements to ensure a seamless user experience and optimal performance.

Outcomes: The project was a great success, with the team delivering new modules and functions on time and within budget. As a result, the user base grew to over 100.000 users, and the client has become a trusted partner of the management.

Overview: One of our clients approached us with the need to develop an innovative and comprehensive educational learning management system. Our team worked closely with them to create a single platform that combines essential features to make it an indispensable tool for educators, parents, and students alike.

The system is designed to provide a seamless and efficient experience for all stakeholders involved in the educational process. Educators can easily track student progress and communicate with parents, while also managing paperwork, tracking special education programs, and implementing the Responding to the Intervention model (RTI).

With the system's advanced functionality, educators can ensure that each student receives the correct level of support, leading to improved learning outcomes. 

Solution: Our team worked closely with the founder of the educational learning management system to fully understand the requirements of educators, parents, and students. We held frequent meetings with the founder to ensure that the platform met their needs and exceeded their expectations. Throughout the development process, we were proactive and inquisitive, asking questions to ensure we were on the right track and providing advice on UX and functionality.

We designed and developed a comprehensive platform that included tailored interfaces for educators and students. The interfaces were designed to meet their specific needs and provide them with a seamless experience. Our team incorporated a wide range of essential features, including progress tracking, parent communication, paperwork management, special education program tracking, RTI model, and Gradebook. We also added additional features like peer assessments for students, Goalbank, and valuable analytical dashboards to provide educators with valuable insights into the performance of their students.

To ensure that the system we built was fully customizable, we utilized Python and Django for the back end, React for the front end and used AWS capabilities. This allowed us to develop a system that could be tailored to the unique needs of each school. Our team thoroughly tested the product at all stages of development to ensure its quality and functionality.

Tech stack: Python, Django, React, AWS.

Overview: Our team was approached by a non-profit organization that focuses on improving the quality of civic education in schools across the country. They were looking for a comprehensive platform that would provide teachers and active citizens with working materials for teaching the subject of citizenship education.
 

Challenge: The main challenge was to develop a user-friendly platform that would allow teachers to quickly and easily generate an activity-filled plan for teaching dozens of curriculum topics. We also needed to ensure that the platform complied with the requirements of the Ministry of Education and provided teachers with a comprehensive set of lesson objectives and activities.

Solution: Our team developed a resource platform that enabled teachers and active citizens to get a sub-work plan to work on a selected civics topic. We created an intuitive interface for teachers that allowed them to select the audience, choose the section and lesson they wish to prepare, and model how to conduct the lesson. We also included a set of lesson objectives that were compatible with the requirements of the Ministry of Education. Each lesson plan included activity ideas, requirements, and preparation time needed. With the plan thus created, a student sheet could be made. Each teacher was able to see all the generated lessons in their profile.

Overview: Our client needed a tool to analyze electricity consumption based on the data from sensors integrated into electrical sockets, in real-time and historically, with the ability to track any critical moments. The client also required the tool to be scalable and applicable to other sensors in the market.

Solution: To ensure that the tool met the requirements, our team collaborated with the client's team to understand their needs and preferences. We analyzed the data collected by the sensors to develop algorithms to accurately track the electricity consumption of each socket. We then integrated the algorithms into a user-friendly interface that allowed users to easily track their electricity usage over time. We used Python, Django and Angular to develop the backend and front end of the tool, respectively, ensuring a scalable solution that could be easily extended to support other sensors in the market.

Our team also implemented various features to enhance the user experience. We included notifications and snapshots for critical moments, such as extreme power consumption, electrical fault or a sudden surge in electricity usage. We also generated heat maps for each socket, providing users with visual information about their electricity usage over time. We ensured that the tool was responsive and could be used on mobile devices, enabling users to monitor their electricity usage on the go.

Tech stack: Python, Django, Angular, AWS.