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In GSoC 2026Growing in 2026

OpenVINO Toolkit

OpenVINO is an open‑source toolkit designed to optimize and deploy deep learning models from cloud to edge. It accelerates inference for a wide range of use cases—including computer vision, generative AI, and agentic AI—supporting models from popular frameworks such as PyTorch, TensorFlow, ONNX, and more. With OpenVINO, you can convert and optimize models, then deploy them across diverse Intel hardware and environments, whether on-premises, at the edge, on AI PCs, or in the cloud.

Contributors in 2026

18

+2 from 2025

Projects since 2016

50

10 a cycle on average

Cycles

5 of 11

5-cycle streak

Rank in 2026

#11

of 183, 1.6% of slots

Mentors

18

for 8 projects in 2024

Contributors per cycle

Accepted projects each year, against the median organization that year

  1. 18
View as table
OpenVINO Toolkit contributors per cycle
OpenVINO ToolkitMedian organization
201604
201704
201803
201904
202004
202104
202233
202354
202484
2025165
2026184

Quick answers

Is OpenVINO Toolkit in GSoC 2026?
Yes, with 18 contributors.
How long has it taken part?
5 of 11 cycles since 2016, first in 2022, with a 5-cycle streak running.
How many contributors does it usually take?
10 a cycle on average, 50 in total. Its largest cycle was 2026, with 18.
What does it build with?
Python, C++, x86, Arm.

Accepted projects

18 projects in 2026 · All 50 projects since 2016

  1. Synthetic Anomaly Generation

    Abhay Kumar Das

    Unsupervised anomaly detection models in Anomalib rely on synthetic anomalies to calibrate decision thresholds, but the current Perlin-based pipeline...

  2. AVX2-Accelerated Collision Detection for Real-Time MPC in Humanoid Robotics

    asterich

    This project aims to resolve the computational bottleneck in self-collision detection within the OCS2 framework for humanoid robotics. The current...

  3. Demonstrating integration of openhands with OpenVINO Model Server

    devesh-047

    This proposal aims to create a production-ready, single-command deployment integrating the OpenHands AI coding agent with the OpenVINO Model Server...

  4. OpenVINO GenAI: Add Image-to-Video Support to LTX Video Generation Pipeline

    goyaladitya05

    OpenVINO GenAI currently supports text-to-video generation via the LTX pipeline but lacks image conditioning. This project adds Image-to-Video (I2V)...

  5. OpenVINO Profiling using VTune & GTPin

    Jayakaran

    The existing GPU profiling workflow in OpenVino, through benchmark_app connects kernels to the model layers (primitives) and reports their execution...

  6. Agentic AI for Predictive Maintenance using OpenVINO

    JOHYEONGSEOB

    This project aims to develop an agentic AI system for predictive maintenance of urban infrastructure using OpenVINO. The goal is to enable...

  7. GGUF Reader V2 in OpenVINO GenAI for Direct GGUF Execution via Dynamic Graph Translation

    KARNAV SHAH

    The current GGUF reader in OpenVINO GenAI manually reconstructs model architectures by parsing metadata and building the OpenVINO model layer by...

  8. Agentic Toolkit for AI PC with OpenVINO

    Lagmator22

    OVAT is a modular Python toolkit with a CLI for building and running local AI agents on Intel AIPCs. Uses OVMS as the inference backbone, adds...

Show 10 more projects
  1. Optimize a VLA Model for Embodied Intelligence: OpenVINO Toolkit (Intel) Project #21

    MDerazNasr

    VLA models like unifolm-vla combine a vision-language backbone with a flow matching action head. On Intel iGPU, these models face two major...

  2. Automated Agent System for Adding New Model Support to Optimum-Intel

    Mohamed Ashraf Ibrahim

    Develop an autonomous multi-agent system using LangGraph to automatically analyze Hugging Face model architectures and generate the necessary code,...

  3. No Code AI Workflow Automation with n8n and OpenVINO Model Server for GPU and NPU

    Nand-Kishore

    This project integrates n8n, a no-code workflow automation platform, with OpenVINO Model Server to let users build AI-powered workflows that run on...

  4. Web-Based AI-Assisted OS Image Builder for Intel Edge AI Suites

    Neel Barke

    Deploying Intel Edge AI Suites (Metro AI, Manufacturing AI, Retail AI, Robotics AI) requires users to manually configure OS images with correct...

  5. Multi-Object Tracking Integration for OpenVINO Training Extensions (OTX)

    Omkar Kabde

    OTX supports 15+ detection models but has no built-in tracking.Every real-world video application (conveyor belt counting, asset monitoring,...

  6. Optimizing Quantized Model Inference on ARM with OpenVINO

    Passavee

    This project aims to improve INT8 inference performance for quantized YOLO26 models on ARM devices using OpenVINO. Currently, several transformation...

  7. Continuous Face-Detection with Automatic Device Switching on AI PCs using OpenVINO AUTO feature

    Saeed Fahim

    Modern AI PCs have multiple inference devices (CPU, GPU, NPU) but most applications use only one device at a time. This project aims to build a...

  8. Auto-Labeling "Data Factory" & Edge Training Integration

    Saptadip Saha

    This project introduces a ‘Cold Start’ Data Factory that turns zero/one-shot prompting into a full data-to-training workflow. The core contribution...

  9. Build a GUI Agent with Local LLM/VLM using OpenVINO for Desktop Automation

    Shehroz Kashif

    A lot of everyday computer tasks—like navigating applications, managing files, and configuring settings—are repetitive and require multiple manual...

  10. Object Tracking in MP with OpenVINO Inference

    Vishwa Teja Konkala

    This project aims to integrate bytetrack algorithm into a Mediapipe graph using OpenVINO inference calculators. The bytetrack graph will be deployed...

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Data: Google Summer of Code public archive. Contributor counts are accepted projects.