Teaching centers want to evaluate the effectiveness of the classroom based on objective parameters instead of the subjective parameters of the teacher or student.
We built an application to recognize the faces, gestures, and actions of class members, using artificial intelligence so that the system can assess the concentration of members, based on which the centers can improve their process
There is no solution in place to manage multiple teaching centers with thousands of students, teaching contents and homework. This make it hard to maximize learning outcomes.
We built this all-in-one solution with Web based Learning Management System and AI chatbot on mobile app for students within just 3 months. We are continuing to develop this platform and apply AI to build learning path for each student
Difficult to serve too many requests from clients (replying similar inquiries over and over again, creating invoices, etc) with existing manual process
We built a new visa application support platform for visa agencies and users, which has smart functionalities powered by AI.
Switch from managing inventory using excel sheets while automating portions of it and have a centralized and secure database, thereby improving productivity.
Built an ERP system from scratch catering to the needs of the client. To ensure a high customer satisfaction, a series of tests were conducted with the client during the production.
Customer was wasting substantial time and effort in manual process for job matching using Excel Sheets
Tokyo Tech Lab custom built a system which utilized Artificial Intelligence to eliminate all manual operations
With a very tight schedule of 3 weeks right before the release date, customer required penetration testing and in-depth code review of the exchange platform.
With a highly efficient team of engineers, we conducted the following in a mere span of 14 working days:
- Cloud Architecture and Configurations audit
- Web Application audit & code review
- Build plan for Mobile app and wallet app audit & code review
Develop micro-controller board (hardware) which had to be integrated with LoRA module and a mobile app (software) in a very tight schedule
Co-developed the hardware and proceeded to build the mobile app to visualize the data from IoT devices in
Speed was achieved through a series of rapid prototyping and testing.