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.
Software and hardware complex for recognizing container and wagon numbers
Development and implementation of an intelligent module for automated distribution of wagons and containers across loading and storage areas in a dry port. The main goal is to increase the efficiency of using space, reduce the time of maneuvers and simplify the loading/unloading process due to the optimal placement of cargo characteristics.
Decision acceptance deadline
18.12.25 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
3
RoboChess EDU is an intelligent platform for teaching thinking through robotics and game strategies
Goal: To create a technological platform that combines robotics, elements of game thinking (including chess) and adaptive learning for children aged 5-14 years. Description: RoboChess EDU is a hardware and software complex where children learn engineering and strategic thinking through the control of mini-robots. Robots perform tasks based on the principles of chess logic: planning, forecasting, tactics, and consequences analysis. The system includes a mobile application, a mission constructor, and an AI module for adapting complexity.
Decision acceptance deadline
18.12.25 (inclusive)
Preferred systems
Robotics components and sensoricsNumber of applications
4
An AI agent for automating customer requests and preparing solutions based on company data
Create an AI agent that automatically processes customer requests, analyzes company data, and generates ready-made solutions for employees.
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
14
Development of the "ZEON" module for automatic generation of project documentation
It is necessary to develop a module of the ZEON system that automatically generates key elements of the project documentation: user stories, acceptance criteria and functional requirements. The module should analyze the input text data, structure it and transform it into standardized artifacts applicable in the software development process. The goal is to accelerate the preparation of project documentation and improve its quality through automation.
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
2
Development of an AI mini-video generator ”Quick topic analysis" from full-format lessons in the Baimly educational platform
Create a module that automatically converts long video tutorials into short, understandable and structured mini-videos (30-90 seconds), highlighting key points, formulas, definitions and examples. This will allow students to repeat topics faster and improve engagement. Within the framework of the project, it is necessary to implement: ⸻ A. Extracting key points from a video Usage: • Speech recognition (Whisper/Vosk/Speech-to-Text API) • NLP/LLM to identify important fragments • determining peaks of importance by words: “formula", “main", “example", “rule” ⸻ B. Mini video generation • automatic cutting of necessary fragments • combining several pieces into a 30-90 second structure • automatic cropping and rippling of the format 9:16 / 16:9 / 1:1 • automatic insertion of titles and subtitles • Smooth transitions and visual effects ⸻ C. Inserting AI-generated hints • Explanations • key formulas • Important definitions • a short cheat sheet on the screen ⸻ D. Server side (Backend + Worker) • Video processing via FFmpeg • NLP module for defining semantic segments • Mini-timeline generator • queue system (RabbitMQ/Kafka) • storage of mini-videos on CDN/S3 ⸻ E. Embedding in a mobile application • Showing mini-videos inside lessons • separate “Quick topic analysis” feed • auto-generation of a selection of mini-videos • Caching and offline access ⸻ F. Documentation • API description • processing scheme • recommendations for teachers on how to improve the quality of mini-videos
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Neurotechnology and artificial IntelligenceNumber of applications
1
Developing a video compressor/transcoder for mobile devices to optimize video tutorials in the Baimly app
Create a high-performance tool that will automatically convert, optimize and compress Baimly video tutorials for different devices (Android/iOS), ensuring minimal file weight without loss of quality and offline mode support. The project requires: A. Develop a mobile video compressor (in-app) • Video compression in multiple presets (360p/480p/720p) • Support for H.264 / H.265/VP9 (optional) • Bitrate reduction • Automatic preview generation • Multi-stage optimization for weak devices B. Implement the transcoder on the server (Node.js / Go / Java + FFmpeg) • Automatic video processing when uploaded by the teacher • Generation of multiple quality versions • Generation of offline-friendly formats • Adaptive bitrate streaming (HLS) support C. Integration with the mobile application (Ionic/Capacitor/Native plugins) • Quality selection before viewing • Automatic quality selection when the internet is slow • download optimized versions • caching and management of local files D. Storage optimization algorithms • Video deduplication • auto-clean old downloaded files • Predictive download of popular lessons E. Documentation • API specification • instructions for developers • compressor operation diagram
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
0
Development of a single module for integration with payment systems (Kaspi Public QR, Kaspi SmartPOS, Halyk POS, FreedomBank POS) for the Alarify ERP platform
Create a universal payment module that will allow restaurants, cafes and franchises to accept payments via Kaspi Public QR, Kaspi SmartPOS, Halyk POS and FreedomBank POS directly from the Alarify system — without third-party cash register programs. As part of the project, it is necessary to: A. Develop a single API layer for all providers – standardized interface: createPayment, checkStatus, cancelPayment, refund – universal logic for accepting webhooks (success/error/cancellation) B. Implement integrations: 1) Kaspi Public QR API • QR link generation • QR display in web/mobile sales register and self-kiosk • processing callback notifications • working with commissions and store IDs 2) Kaspi SmartPOS Local API • sending an invoice to a terminal via a local network • asynchronous receipt of the result • processing QR/payment display delays 3) Halyk POS API • invoicing • checking the status • Handling cancellations and refunds • Support for Halyk SmartPOS and eCom API 4) Freedom Bank POS API • payment generation • Status • cancel/refand C. Logging and monitoring • logging of all outgoing requests and webhooks • timeouts monitoring • Transaction log for reports D. UI/UX functions (cash register and self-kiosk) • “Pay with Kaspi QR / Halyk / FreedomBank” button • Real-time payment status display • fallback scenarios in case of delays E. Documentation • API specification • integration schemes • instructions for implementation to restaurants
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
2
Telegram bot for approving official purchase notes
Create a Telegram bot for registration and approval of official purchase notes, with the possibility of: step-by-step data entry by expense items, centralized document storage, automatic reporting, flexible management through the admin panel.
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Information processing and transformationNumber of applications
6
A model for predicting CLV
Создание решения, которое прогнозирует CLV пользователей рекламных кампаний и автоматически прогнозирует прибыльность (убыточность) рекламных кампаний и по каждой кампании строит рекомендацию для маркетологов об остановке или изменении бюджета рекламной кампании. Для решения задачи необходимо использовать модели из класса баесовских, работающих по принципу белого ящика, такие как BG/NBD, BG/BB, Pareto/NBD, Gamma-Gamma, MMM ROAS, Lifetimes используя такие открытые решения как PYMC или NumPyro.
Decision acceptance deadline
16.12.25 (inclusive)
Preferred systems
Other technological solutionsNumber of applications
1
Creation of a single dashboard of raw material residues, production output, production dynamics and control of the sales funnel, making a forecast (schedule) of production
To develop a single dashboard for monitoring daily production, production dynamics and control of the sales funnel, production schedule.
Decision acceptance deadline
12.12.25 (inclusive)
Preferred systems
Intelligent control systemsNumber of applications
9
