Your Benefits

Project Kickoff: February 18, 2025

Requirements

Join the Omdena community to make a real-world impact and develop your career

Build a global network and get mentoring support

Earn money through paid gigs and access many more opportunities

Throughout this project, you will have the opportunity to develop and apply some or all of the following skills!
1. 3D Imagery &amp; Point Cloud Data
<ul>
<li aria-level="1">Data Collection and Sourcing: Sourcing and handling 3D imagery and point cloud datasets from publicly available sources.</li>
<li aria-level="1">Data Preprocessing: Cleaning, aligning, and preparing point cloud data for analysis.</li>
<li aria-level="1">Exploratory Data Analysis (EDA): Understanding and identifying key features such as heights, slopes, and structural dimensions in 3D datasets.</li>
</ul>
2. Geospatial and 3D Analysis
<ul>
<li aria-level="1">Point Cloud Processing: Using tools like PDAL, CloudCompare, and Open3D for feature extraction and analysis.</li>
<li aria-level="1">Digital Elevation Modeling: Creating DEMs and analyzing terrain slopes for applications such as flood and landslide risk mapping.</li>
<li aria-level="1">Geometric Analysis: Deriving structural dimensions and roof characteristics from 3D data.</li>
</ul>
3. Machine Learning and AI Development
<ul>
<li aria-level="1">Model Development: Using AI/ML techniques for structure detection and segmentation from 3D imagery.</li>
<li aria-level="1">Feature Extraction: Developing algorithms to compute building heights, roof slopes, terrain elevation, and structural volumes.</li>
<li aria-level="1">Algorithm Fine-Tuning: Refining workflows and pipelines based on benchmarks and feedback.</li>
</ul>
4. Pipelines Development
<ul>
<li aria-level="1">Pipeline Development: Creating scalable and replicable scripts for processing and visualizing 3D data.</li>
<li aria-level="1">Visualization Tools: Building pipelines for visualizing extracted features, such as elevation models and structural maps.</li>
</ul>
5. Analytical and Statistical Skills
<ul>
<li aria-level="1">Performance Metrics Analysis: Evaluating model outputs using precision, recall, F1-score, and consistency against benchmarks.</li>
<li aria-level="1">Benchmarking: Comparing workflows to industry standards for 3D feature extraction.</li>
</ul>
6. Ethical and Regulatory Knowledge
<ul>
<li aria-level="1">Data Privacy: Awareness of ethical considerations, ensuring no unintended misuse or surveillance of 3D data.</li>
<li aria-level="1">Bias Mitigation: Understanding how variability in data quality impacts model fairness and accuracy.</li>
</ul>
7. Visualization and Reporting
<ul>
<li>Data Visualization: Present results of 3D analysis through graphical representations such as 3D maps and DEMs.</li>
<li>Report Writing: Documenting methodologies, findings, and actionable recommendations in comprehensive reports.</li>
</ul>
8. Project Management and Planning
<ul>
<li aria-level="1">Milestone Tracking: Delivering goals within a structured timeline</li>
<li aria-level="1">Stakeholder Collaboration: Ability to adapt workflows based on stakeholder feedback and project requirements.</li>
</ul>

Enhancing urban and environmental analysis by developing automated workflows for efficient feature extraction from 3D imagery and point cloud data, aimed at improving decision-making in city planning, disaster preparedness, and environmental monitoring.

3D Imagery Analysis & Segmentation

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Challenges

3D Imagery Analysis &#038; Segmentation

Omdena | Building AI Solutions for Real-World Problems

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Project Kickoff: February 4, 2025

Throughout this project, you will have the opportunity to develop and apply some or all of the following skills!
1. Data Skills
<ul>
<li style="font-weight: 400;" aria-level="1">Data Collection and Sourcing: Acquiring street-level imagery datasets from open platforms like <a href="https://www.mapillary.com/" target="_blank" rel="noopener">Mapillary</a>.</li>
<li style="font-weight: 400;" aria-level="1">Data Preprocessing: Cleaning, labeling, and preparing street-level imagery for machine learning applications.</li>
<li style="font-weight: 400;" aria-level="1">Exploratory Data Analysis (EDA): Identifying relevant features such as road conditions and building materials in diverse datasets.</li>
</ul>
2. Machine Learning and AI Development
<ul>
<li>Model Development: Implementing AI models, such as YOLOv4, for road condition classification and building material segmentation.</li>
<li>Algorithm Fine-Tuning: Enhancing model accuracy through techniques like ensemble learning and transfer learning.</li>
<li>Region-Specific Adaptations: Tailoring models to address variations in infrastructure types and environmental factors.</li>
</ul>
3. Geospatial and Image Analysis
<ul>
<li style="font-weight: 400;" aria-level="1">Feature Classification: Classify road types (e.g., paved/unpaved) and segment building materials (e.g., wood, concrete, steel).</li>
<li style="font-weight: 400;" aria-level="1">Rooftop Analysis: Analyzing rooftop characteristics to support urban planning and disaster recovery.</li>
</ul>
4. Software Development
<ul>
<li style="font-weight: 400;" aria-level="1">Prototype Development: Creating scalable and replicable workflows and scripts for data processing, model inference, and post-processing.</li>
<li style="font-weight: 400;" aria-level="1">Visualization Tools: Developing PoCs and scripts to visualize classification and segmentation results.</li>
</ul>
5. Analytical and Statistical Skills
<ul>
<li style="font-weight: 400;" aria-level="1">Performance Metrics Analysis: Evaluating model performance using precision, recall, F1-score, and Intersection over Union (IoU).</li>
<li style="font-weight: 400;" aria-level="1">Benchmarking: Compare outputs against industry standards to validate model reliability.</li>
</ul>
6. Ethical and Regulatory Knowledge
<ul>
<li style="font-weight: 400;" aria-level="1">Data Privacy: Understanding of privacy regulations, particularly in anonymizing street-level imagery.</li>
<li style="font-weight: 400;" aria-level="1">Bias Mitigation: Awareness of data variability and its impact on model fairness and accuracy.</li>
</ul>
7. Visualization and Reporting
<ul>
<li style="font-weight: 400;" aria-level="1">Data Visualization: Present results through graphical representations like interactive maps and performance dashboards.</li>
<li style="font-weight: 400;" aria-level="1">Report Writing: Documenting methodologies, findings, and actionable recommendations in comprehensive reports.</li>
</ul>
8. Project Management and Planning
<ul>
<li style="font-weight: 400;" aria-level="1">Milestone Tracking: Delivering goals within a structured timeline</li>
<li style="font-weight: 400;" aria-level="1">Stakeholder Collaboration: Ability to adapt workflows based on stakeholder feedback and project requirements.</li>
</ul>

Advancing urban infrastructure analysis by creating an AI-driven platform that streamlines the processing, classification, and visualization of street-level imagery, enhancing the precision and utility of geospatial data for urban planning and development

Street-Level Imagery Analysis

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Project Kickoff: January 21, 2025

Throughout this project, you will have the opportunity to develop and apply some or all of the following skills!
1. Data Skills
<ul>
<li aria-level="1">Data Collection and Sourcing: Sourcing geospatial datasets, including aerial and satellite imagery, from open-source platforms.</li>
<li aria-level="1">Data Preprocessing: Aannotating, normalizing, and preparing geospatial data for machine learning tasks.</li>
<li aria-level="1">Exploratory Data Analysis (EDA): Analyzing imagery data to identify patterns, gaps, and segmentation challenges.</li>
</ul>
2. Machine Learning and AI Development
<ul>
<li aria-level="1">Model Development: Building and refining segmentation and classification models for detecting buildings, rooftops, solar panels, and rooftop materials.</li>
<li aria-level="1">Algorithm Fine-Tuning: Improving model accuracy using foundational models (e.g., SAM2, IBM/NASA models) and fine-tuning for specific geospatial tasks.</li>
<li aria-level="1">Post-Processing: Create scripts for regularizing segmentation outputs to meet OpenStreetMap standards.</li>
</ul>
3. Geospatial and Image Analysis
<ul>
<li aria-level="1">Feature Detection: Identifying and classifying geospatial features such as buildings, solar panels, and rooftops using advanced image processing techniques.</li>
<li aria-level="1">Rooftop Analysis: Analyze rooftop color and material properties, linking them to solar absorption and infrastructure planning.</li>
</ul>
4. Pipelines Development
<ul>
<li aria-level="1">Prototype Development: Creating PoCs and pipelines for data processing, model inference, and post-processing.</li>
<li aria-level="1">Reproducibility: Developing replicable and well-documented codebases and workflows.</li>
</ul>
5. Analytical and Statistical Skills
<ul>
<li aria-level="1">Performance Metrics Analysis: Capability to evaluate model performance using precision, recall, F1-score, and IoU for segmentation tasks.</li>
<li aria-level="1">Benchmarking: Skills in comparing models against industry benchmarks for geospatial tasks.</li>
</ul>
6. Ethical and Regulatory Knowledge
<ul>
<li aria-level="1">Data Privacy: Understanding geospatial data ethics and ensuring compliance with privacy guidelines.</li>
<li aria-level="1">Bias Mitigation: Awareness of region-specific data variations and ensuring fairness in model outputs.</li>
</ul>
7. Visualization and Reporting
<ul>
<li aria-level="1">Data Visualization: Creating visual outputs of segmentation results and performance metrics.</li>
<li aria-level="1">Documentation: Produce comprehensive reports summarizing methodologies, findings, and recommendations.</li>
</ul>
8. Project Management and Planning
<ul>
<li aria-level="1">Milestone Tracking: Delivering goals within a structured timeline</li>
<li aria-level="1">Stakeholder Collaboration: Ability to adapt workflows based on stakeholder feedback and project requirements.</li>
</ul>

Enhancing humanitarian response and development planning by automating the detection and classification of Earth features using AI-driven models, to improve geospatial data accuracy and efficiency across diverse regions.

Machine Learning for Earth Observation

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Project Kickoff: January 9, 2025

Capturing Biometric Signs Through Camera And AI-Based Vital Signs Monitoring

Throughout this project, you will have the opportunity to develop and apply some or all of the following skills!
1. Data Skills
<ul>
<li style="font-weight: 400;" aria-level="1">Data Collection and Sourcing: Identifying and sourcing relevant biometric datasets from open-source platforms.</li>
<li style="font-weight: 400;" aria-level="1">Data Preprocessing: Normalizing images, annotating data, and filtering irrelevant information to ensure dataset quality.</li>
<li style="font-weight: 400;" aria-level="1">Exploratory Data Analysis (EDA): Analyze datasets to identify biases, gaps, and patterns.</li>
</ul>
2. Machine Learning and AI Development
<ul>
<li style="font-weight: 400;" aria-level="1">Model Development: Designing AI models to detect biometric parameters such as heart rate, respiration rate, and blood pressure.</li>
<li style="font-weight: 400;" aria-level="1">Algorithm Fine-Tuning: Optimizing models for accuracy, precision, and recall using advanced techniques.</li>
<li style="font-weight: 400;" aria-level="1">Model Validation: Testing models across diverse datasets and ensuring unbiased, scalable performance.</li>
</ul>
3. Software Development
<ul>
<li style="font-weight: 400;" aria-level="1">Prototype Development: Creating functional PoCs using frameworks like Streamlit or equivalent tools.</li>
<li style="font-weight: 400;" aria-level="1">Wireframe Design: Designing initial application wireframes using tools like Figma.</li>
</ul>
5. Analytical and Statistical Skills
<ul>
<li style="font-weight: 400;" aria-level="1">Performance Metrics Analysis: Evaluate model performance using metrics like F1-score, precision, and recall.</li>
</ul>
7. Ethical and Regulatory Knowledge
<ul>
<li style="font-weight: 400;" aria-level="1">Data Privacy: Understanding and ensuring compliance with data protection regulations.</li>
<li style="font-weight: 400;" aria-level="1">Bias Mitigation: Awareness of dataset biases and implementing solutions to ensure equitable AI model performance.</li>
<li style="font-weight: 400;" aria-level="1">Transparency: Communicating the capabilities and limitations of the technology ethically and effectively.</li>
</ul>
8. Visualization and Reporting
<ul>
<li style="font-weight: 400;" aria-level="1">Data Visualization: Creating graphical representations of model performance and findings.</li>
<li style="font-weight: 400;" aria-level="1">Report Writing: Preparing detailed project reports summarizing results, challenges, and next steps.</li>
</ul>

Developing an AI-driven system to automate vital sign monitoring using camera-based solutions, enhancing healthcare accessibility and improving diagnostic accuracy in rural and semi-urban areas.

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Eligibility to join an Omdena Top Talent project

Project Kickoff: December 19

Developing Web Based Platform for FOIA Requests Management 

Skill requirements

In this project, you will work on developing a comprehensive web-based FOIA management platform that transforms how government agencies handle information requests.

Developing Web Based Platform for FOIA Requests Management

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Project Kickoff: December 2

Creating Specialized AI Agents For Disaster Management & Mitigation

Developing an advanced AI-powered system enhances disaster management and supply chain resilience by integrating cutting-edge AI techniques with comprehensive data frameworks.

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Creating Specialized AI Agents For Disaster Management &#038; Mitigation

Project Kickoff: November 25

AI Matching and Proposal Assistant for Inclusive Business Opportunities

Developing an AI matching and proposal assistant that enhances the accessibility of government and commercial contracting opportunities for minority-owned, women-owned, and veteran-owned businesses.

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Project Kickoff: October 28

Join Omdena Top Talent Project, you'll work on an innovative initiative to automate the monitoring of seedling growth in nurseries and parklands using AI and computer vision technologies.

Monitoring Plants Health with AI and Computer Vision

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Project Kickoff: November 4

Shopping for fabric, Lomé, Togo. Photo by Brittany Danisch

Building an AI-powered system that enhances economic policymaking in a West African Francophone country using cutting-edge technology, LLMs.

Building an AI-powered System to Enhance Economic Policymaking With a Pan BBC African Think Tank

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If you have completed an Omdena Challenge with us previously please apply via this link: <a class="text-blue underline focus-visible" contenteditable="false" href="https://airtable.com/shrSKqls39xnculVm" target="_blank" rel="noreferrer noopener">https://airtable.com/shrSKqls39xnculVm</a>
Not a member? You can apply via the form below:

Already an Omdena Community Member?

Project Kickoff: October 18

3 women standing and 1 woman sitting in a wheelchair in front of many flags from different countries. These women are part of Fight For Right - a DLO that WID assisted in crisis response.

Developing an AI-driven system to automate the resource matching process for humanitarian aid, enhancing the efficiency and accuracy of delivering support to disability-led organizations in disaster-impacted areas.

AI-Driven Resource Identification and Matching System

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Project Kickoff: October 21

Developing an AI-driven predictive system to assess soil nutrients, enhancing agricultural productivity and optimizing fertilizer use for smallholder farmers in Bangladesh.

Soil Nutrient Prediction for Enhanced Fertilizer Recommendations

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Project Kickoff: October 4

Join Omdena AI Innovation Challenge, you will work on developing an AI-driven assessment tool to evaluate primary school students' literacy and arithmetic skills in the Odia language.

Vernacular Language-Based LLM for Foundational Skills Assessment in Primary School Children

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Project Kickoff: September 26

Join Omdena AI Innovation Challenge to develop an AI-driven system that predicts missing data points, enhancing decision-making processes in humanitarian response efforts globally.

Crisis Impact Forecaster for Empowering Humanitarian Decisions

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Project Kickoff: August 28

Become a part of the Omdena Top Talent Project to develop a scalable and efficient admin platform aimed at streamlining the management of user data and enhancing the delivery of personalized health programs.

Empowering Wellness with Tailored Feedback and Lifestyle Recommendations

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Project Kickoff: September 10

Developing an AI-driven modeling system using aerial imagery and point cloud data to automate 3D roof modeling for photovoltaic installations, enhancing solar energy deployment and contributing to sustainable energy transitions.

3D Roof Reconstruction with Computer Vision for Solar Energy Optimization

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Project Kickoff: August 8

Join Omdena Top Talent Project to accurately identify specific crop types—lettuce, melons, and tomatoes within a designated area using AI and remote sensing technologies

Accurately Identifying Crop Types Using Remote Sensing and Machine Learning

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Project Kickoff: July 30

Join Omdena Top Talent Project to optimize and deploy a sentiment analysis tool on a scalable platform with enhanced user management and visualization capabilities for measuring public opinions on political actors in El Salvador.

Optimizing and Deploying a Platform for Measuring Public Opinions on Political Actors in El Salvador with AI

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Project Kickoff: July 3

Join Omdena Top Talent Project to fine-tune, optimize, and deploy an AI solution with existing systems to enhance climate and credit risk scoring for African SMEs, specifically schools.

Optimizing & Deploying Climate and Credit Risk Scoring for African SMEs With AI

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Optimizing &#038; Deploying Climate and Credit Risk Scoring for African SMEs With AI

Join Omdena Top Talent Project to enhance the accuracy of global mapping through the fine-tuning of the Segment Anything Model (SAM) with regional weights.

Enhancing Global Mapping Through AI

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Completed Project!

In this project, Omdena built an AI-driven early warning system to predict extreme weather conditions using data from the Tanzania Meteorological Authority and historical weather records.

Building AI-powered Early Warning System for Extreme Weather Conditions in Tanzania

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Omdena partnered with the World Resources Institute (WRI) to enhance the Energy Access Explorer (EAE) tool by integrating advanced AI models and diverse datasets to streamline energy planning.

Transforming Energy Access Planning in Kenya with the Energy Access Explorer (EAE) Tool

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Project Kickoff: June 1

Join the Omdena Top Talent Project to optimize the accuracy and explainability of AI models for detecting health insurance fraud in Saudi Arabia.

Optimizing the Accuracy & Explainability of Medical Insurance Claim (Fraud, Waste and Abuse) FWA Detection by Leveraging AI & Anomaly Detection

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Optimizing the Accuracy &#038; Explainability of Medical Insurance Claim (Fraud, Waste and Abuse) FWA Detection by Leveraging AI &#038; Anomaly Detection

Project Kickoff: May 22

Join Omdena Top Talent Project focusing on accelerating the discovery of new active ingredients for mosquito vector control and antimalarials to combat the global challenge of malaria.

Eradicating Malaria with Ethnopharmacology and Artificial Intelligence

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Application Deadline: May 13

Join Omdena's Top Talent Project to develop a system that detects mis/disinformation in Bambara, enhancing societal resilience in Mali.

Combating Mis/Disinformation in Mali using Machine Learning

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Omdena developed an AI model for indoor temperature prediction to improve learning environments, health safety, and policy planning in Tanzanian schools using satellite imagery and environmental data.

AI-Driven Indoor Temperature Prediction for Tanzanian Classrooms

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Application Deadline: May 3

In this project, you will work on deploying a system to detect misinformation in El Salvador during election times, empowering civil society organizations, journalists, and other key stakeholders in fostering a more democratic society.

Deploying a Platform for Detecting Dis/Misinformation in El Salvador with AI

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Omdena developed an AI-driven solution for fault detection in power distribution systems to enhance reliability, reduce outages, and improve safety.

Detecting Fault Location Within Power Distribution Systems in Iraq Using AI

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Application Deadline: April 12

In this project, you will work on optimizing solutions for identifying inaccuracies in Gender Equality and Social Inclusion (GESI) conversations in Sri Lanka by leveraging advanced AI and ML technologies.

Optimizing Solutions for Identifying Inaccuracies in GESI Conversations in Sri Lanka

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Application Deadline: April 1

In this project, you will work on developing a robust platform using advanced machine learning techniques to detect and counter misinformation and disinformation in Mongolia, focusing on political topics, particularly during crucial periods like elections.

Developing a Platform for Detecting Dis/Misinformation in Mongolia with AI

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Omdena developed a predictive data model for personal injury claims, providing accurate, transparent case valuations to enhance legal professionals' decision-making.

Revolutionizing Personal Injury Claims Valuation Using Machine Learning

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Real-world challenges addressed
through collaboration.

Omdena Project Types

AI Innovation Challenges

Local Chapter Challenges

Top Talent Projects