GSOC - 2025

About CloudCV

CloudCV began in the summer of 2013 as a research project within the Machine Learning and Perception lab at Virginia Tech (now at Georgia Tech), with the ambitious goal of making platforms to make AI research more reproducible. We’re a young community working towards enabling developers, researchers, and fellow students to build, compare and share state-of-the-art Artificial Intelligence algorithms. We believe that one shouldn’t have to be an AI expert to have access to cutting edge vision algorithms. Likewise, researchers shouldn’t have to worry about building a service around their deep learning models to showcase and share it with others.

We have participated in the past nine installments of Google Summer of Code, over the course of which our students built several excellent tools and features. If you are interested in participating as a student or mentor, scroll down to check out our projects and get involved! We are more than happy to answer any questions you may have regarding CloudCV, so feel free to reach out to us on our Slack workspace or on our mailing list.

Enhanced Test Suite and Improved User Experience

SQL Django AngularJS AWS

This project is focused on significantly improving EvalAI’s usability by enhancing exsiting comprehensive test suite alongside a series of user experience enhancements. By increasing our test coverage, automating critical workflows, and refining the platform’s interface and documentation, this initiative aims to create a more robust, user-friendly, and resilient environment for both challenge hosts and participants.

The enhanced test suite will ensure that all core functionalities, from challenge creation to submission processing are verified, reducing bugs and increasing system reliability. In parallel, targeted user experience improvements will simplify navigation, enhance error reporting, and streamline user interactions, leading to a more intuitive and supportive EvalAI ecosystem.

Project Size: Medium (175 hours)

Difficulty Rating: Medium

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Mitigating Biases & Prompt Effects in Vision-Language Models

Python PyTorch/TensorFlow NLP Vision-Language Models LLMs Bias and Fairness in AI

This research project aims to investigate how prompt engineering influences the behaviour and outputs of Vision-Language Models (VLLMs), with a particular focus on the emergence and amplification of biases. By systematically studying the relationship between prompt formulations and model responses, the project seeks to uncover the mechanisms through which biases are introduced and propose effective mitigation strategies.

Project Size: Medium (175 hours)

Difficulty Rating: Medium to Advanced

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RAG-Based Chat Bot for Enhanced Challenge Support

Python Natural Language Processing (NLP) Machine Learning Retrieval Augmented Generation (RAG) Django SQL

This project aims to enhance the user experience for both challenge hosts and participants by developing an intelligent, RAG (Retrieval Augmented Generation) based chatbot. The chatbot will efficiently address queries related to challenge hosting, guidelines, troubleshooting, and FAQs. By integrating state-of-the-art NLP techniques with robust retrieval mechanisms, the solution will ensure prompt, accurate, and context-aware responses that reduce support overhead and streamline communication.

Using the RAG approach, the chatbot will retrieve relevant information from challenge documentation and combine it with generative models to create coherent and helpful answers. This will empower hosts to manage challenges more effectively and assist participants in resolving queries, ultimately contributing to a smoother and more interactive challenge experience.

Project Size: Medium (175 hours)

Difficulty Rating: Medium

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Become a Mentor!

Mentoring is very important to the future of CloudCV. It introduces new people to the world of open source software who will enrich our community with their ideas and talents.

Apart from technical skills, being a mentor requires your time, a clear roadmap for your project and good organization skills. If you think you would be a good fit to mentor one of our projects, do reach out to us!

Okay, let's mentor!

Have your own idea? Add an issue to our GSoC-Ideas repository.

In case of queries, you can contact us.

Email: team@cloudcv.org