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.

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777 tasks

Development of the embedding-service and its integration into kb-retriever

To develop a centralized micro-embedding service for converting text into vector representations (embeddings) and integrate it into kb-retriever

Наиль Хисамутдинов

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

1

Integration and optimization of the 2GIS cartographic service into the mobile application at React Native / Expo

To develop a sustainable and productive solution for integrating 2GIS maps into the React Native/Expo mobile app to enhance navigation and user experience.

Customer

ТОО VERTO BUSINESS

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Other technological solutions

Number of applications

1

Forecasting demand and operational load in the delivery service

Create a technological solution for predicting the volume of orders and the load on the delivery system, allowing you to plan resources in advance and improve the quality of service.

Customer

ТОО VERTO BUSINESS

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Technologies in transport and logistics

Number of applications

0

Intelligent optimization of delivery routes, taking into account business constraints

To develop an intelligent technological solution for automatic optimization of delivery routes, aimed at reducing delivery time, reducing operating costs and increasing the efficiency of courier resources.

Customer

ТОО VERTO BUSINESS

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Technologies in transport and logistics

Number of applications

2

Integration of EDI with eGov Mobile for signing documents by individual entrepreneur drivers

Goal: To create a reliable and scalable mechanism for automatically signing documents (acts of completed works, invoices) Sole proprietors are taxi drivers through the eGov Mobile mobile app. The task arose during the implementation of a document management automation project for Yandex partners.Taxi. The existing aggregator APIs do not allow sending notifications about documents to be signed directly to the EDI system. We need to develop a solution that ensures: - Automatic loading of documents from the aggregator system. - Guaranteed delivery of notifications to the driver. - Signing documents via eGov Mobile using CEP. - Registration of the signing status in the corporate system.

Customer

ТОО "OI Group"

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

New production technologies

Number of applications

2

TECHNOLOGICAL SPECIFICATION: SUPERIMPOSING A DIGITAL AVATAR ON VIDEO RECORDINGS OF BASKETBALL MATCHES

The goal of the project is to implement in a mobile sports application the function of automatic analysis of exercise technique based on user–uploaded videos based on free computer vision models (pose estimation). At the first stage, two basic exercises are considered: • pull-ups on a horizontal bar; • push-ups from the floor. The system must: • accept video from the user (portrait/landscape orientation, side view); • automatically find a person and his supporting projectile (horizontal bar, floor) on the video; • extract the skeletal model (coordinates of joints by frames); • calculate key biomechanical parameters of the equipment; • identify typical errors and the quality level of execution; • give the user a short rating (score) and 2-4 personalized recommendations. Available free pose assessment solutions are used for implementation.: • MediaPipe Pose / BlazePose (Google, free model for 33 skeleton key points); • OpenCV for working with video and basic preprocessing; • Python/Node.js for backend processing; • If necessary, ONNX Runtime / TensorFlow Lite for optimization.

Customer

ТОО "SAU APP"

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Technologies in transport and logistics

Number of applications

2

Computer Vision Management Platform: Data Markup, Training and Model Management (CV MLOps)

To develop a single platform for a full cycle of work with computer vision: image/video uploading and storage, data markup, quality control, model training, versioning, deployment and monitoring of the quality of models in operation.

Customer

ТОО «J2LAB»

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

2

Fatigue monitoring system for truck drivers

To develop an intelligent system for monitoring the condition of truck drivers in real time in order to detect signs of fatigue, drowsiness and loss of concentration, as well as to prevent traffic accidents.

Customer

ТОО «J2LAB»

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Industrial Safety

Number of applications

6

Video analytics system for smart helmets with video cameras

To develop a video analytics system that receives a video stream from employees' smart helmet cameras and identifies risk situations, security violations and incidents in real time, sending notifications to the dispatcher/shift supervisor and recording events in a log.

Customer

ТОО «J2LAB»

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Neurotechnology and artificial Intelligence

Number of applications

3

Development of predictive analytics system for industrial plants based on AI

To create a predictive analytics system for monitoring industrial equipment and technological processes in order to predict failures, optimize maintenance and increase production efficiency.

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Бектемир Касымов

Decision acceptance deadline

22.01.26 (inclusive)

Preferred systems

Smart Field Information Systems

Number of applications

4

Task type

Preferred systems

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