Technological tasks
The Tech-tasks module is tasks related to the development, implementation and improvement of new technologies, products and processes. If you have development, implementation and other needs you can post information below.
Development of a system for predicting technical malfunctions of cars
Creation of an intelligent system capable of predicting the probability of malfunctions of individual components and assemblies based on vehicle operation data. The system must analyze data on mileage, operating modes, maintenance, sensor readings and fault history and make predictions about the need for diagnosis or maintenance.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
4
Development of an intelligent automatic document analysis and classification system
Creation of an artificial intelligence-based system capable of automatically recognizing, classifying, structuring and analyzing documents of various formats, extracting key information from them and identifying discrepancies between documents.
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
6
AI service for generating descriptions of dishes
We need a web service that generates a selling description of a dish for a card in a food marketplace based on the menu item (name, category, ingredients).
Decision acceptance deadline
10.09.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
10
Embedded knowledge base with contextual hints
We need an embedded knowledge base module for the partner restaurant's web cabinet: a section with article guides (working with a tablet, printer, menu, finances), and a search for them. The goal is to provide self—service to partners and reduce support requests.
Decision acceptance deadline
09.09.26 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
6
AI module for automated quality assessment of managers' work
The module should automatically analyze the content of the manager's consultations with clients, compare the actual dialogue with established sales and service standards, and form an objective assessment of the employee's work quality.
Decision acceptance deadline
09.09.26 (inclusive)
Preferred systems
Digital Security TechnologiesNumber of applications
10
Development of a module for automatic recognition and diarization of Russian-Kazakh speech with the formation of a structured transcript
As part of the project, it is necessary to develop a software mechanism that provides automatic processing of audio files without the need for manual pre-markup. The decision should accept an audio recording of the dialogue between the two speakers, including one recorded in the same audio channel, and generate a structured text result. The module's functionality should include: 1 Audio input file processing — reception and preprocessing of audio recordings, including normalization and selection of speech fragments. 2 Speech detection — automatically detects sections of an audio recording containing speech, eliminating or minimizing the effects of pauses, background noise, and non-speech fragments. 3 Diarization of two speakers — automatic detection and separation of the remarks of two participants in the dialogue, even when using single-channel recording. 4 Speech Recognition (ASR) — speech to text conversion with support for Russian and Kazakh languages. 5 Mixed speech processing (code-switching) — correct recognition of fragments in which the speaker switches from Russian to Kazakh and vice versa. 6 Formation of a transcript is the creation of a text file with sequential markup of replicas by speaker, timestamps of the beginning and end of each speech fragment and, if necessary, an indication of a specific language. 7. Preserving the structure of the dialogue is to ensure that the order of the text phrases corresponds to their actual sequence in the audio recording. 8 Result quality control — achievement of targets: accuracy of diarization — at least 90%; speech recognition accuracy is at least 85%. 9 Result formatting — providing a transcript in a structured format suitable for further analysis, storage, processing and integration with other information systems. 10 Integration capability — implementation of a software interface or other standard mechanism for transferring results to third-party systems and applications.
Decision acceptance deadline
07.09.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
7
IoT hardware radio protocol development
Development of software and hardware for a wireless sensor and its own solution for the communication protocol of devices.
Decision acceptance deadline
04.09.26 (inclusive)
Preferred systems
Internet of ThingsNumber of applications
2
Development and development of the ApexStake Web3 platform on Solana
The goal of the project is to develop and develop the ApexStake Web3 platform on the Solana blockchain. The platform combines staking, smart contracts, digital asset management, and Web3 tools in a single ecosystem with an emphasis on transparency, security, and user convenience.
Decision acceptance deadline
01.09.26 (inclusive)
Preferred systems
Blockchain / Web3 / DeFi / Software DevelopmentNumber of applications
6
A high-performance Data Management Platform for managing classroom and content data.
The company developing the DSP platform is exploring the possibility of creating, implementing, or adapting a high-performance Data Management Platform (DMP). The platform should combine the auditory, behavioral, transactional and content data coming from the company's systems, customers and partners, ensure the formation of user profiles and segments, as well as transfer the results to the DSP platform. The company reviews existing products on the market, architectural approaches, and specialized development options.
Decision acceptance deadline
31.08.26 (inclusive)
Preferred systems
Processing and storage of Big DataNumber of applications
5
Development of an AI system for automatic analysis of sales department calls
The aim of the project is to develop an AI system for automatic analysis of telephone conversations between sales managers. The system must process call recordings, convert speech into text, and use artificial intelligence to analyze the quality of communication with the client. The main tasks of the system: * recognition and transcription of telephone conversations; * determining the manager's compliance with the sales scenario; * identification of the client's needs and objections; * fixing the reasons for the refusal; * quality analysis of the manager's work; * automatic generation of a short summary of the conversation; * determining the next recommended action for the client; * formation of analytics for the head of the sales department; * the ability to integrate with CRM systems. The expected result is a solution that will automate call quality control, reduce the time for managers to manually listen to conversations and receive objective analytics on the work of the sales department.
Decision acceptance deadline
28.08.26 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
19
