Your Benefits

Project Kickoff: July 14 , 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

Discover CarbonAgents, an AI-powered carbon management solution designed for SMEs. Automate emissions tracking, ensure regulatory compliance, and reduce your carbon footprint with innovative multi-agent AI technology.

Building CarbonAgents: AI-Powered Carbon Management Solution - Omdena

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Challenges

Building CarbonAgents: AI-Powered Carbon Management Solution

Omdena | Building AI Solutions for Real-World Problems

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Project Kickoff: July 11, 2025

Discover ClimateSense, an AI innovation challenge to combat climate change in Bhutan. Using machine learning and real-time data, it predicts extreme weather and enhances disaster preparedness.

Building ClimateSense: Leveraging AI to Combat Climate Change in Bhutan - Omdena

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Building ClimateSense: Leveraging AI to Combat Climate Change in Bhutan

Eligibility to join an Omdena Top Talent project

Project Kickoff: May 30, 2025

Skill requirements

This is a paid opportunity. In order to be eligible to apply...

AI-Driven Street Imagery Analysis for Humanitarian Logistics - Omdena

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AI-Driven Street Imagery Analysis for Humanitarian Logistics

Project Kickoff: June 6, 2025

TerraScan AI: Real-Time Mining-Site Locator for North America & South Africa

TerraScan aims to develop an AI-powered platform that provides real-time monitoring and...

TerraScan AI: Real-Time Mining-Site Locator for North America & South Africa - Omdena

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TerraScan AI: Real-Time Mining-Site Locator for North America &#038; South Africa

Project Kickoff: May 19, 2025

Building BankEase : An AI-Powered Open-Source Customer Experience Platform

Building BankEase:An AI-Powered Open-Source Customer Experience Platform, This 8-week collaborative innovation challenge...

Building BankEase : An AI-Powered Open-Source Customer Experience Platform - Omdena

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Project Kickoff: May 12, 2025

Building CropCycle: Smart Crop Rotation Solutions for Farmers

Most are smallholder farmers with average land holdings of less than one...

Building CropCycle: Smart Crop Rotation Solutions for Farmers - Omdena

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Building VisionVitals: AI-Powered Biometric and Vital Signs Monitoring Through Camera

AI-Powered Biometric and Vital Signs Monitoring Through Camera, enhancing healthcare accessibility and...

Building VisionVitals: AI-Powered Biometric and Vital Signs Monitoring Through Camera - Omdena

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Project Kickoff: May 29, 2025

Building AI Solutions for Mental Health and Well-being

Developing AI-powered solutions to enhance mental health and well-being in alignment with...

Building AI Solutions for Mental Health and Well-being - Omdena

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Project Kickoff: May 1, 2025

You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.  The Problem...

AI Risk Intelligence Platform - Omdena

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AI Risk Intelligence Platform

Project Kickoff: May 8, 2025

Advanced Model Optimization and Deployment for Geospatial AI Applications - Omdena

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Advanced Model Optimization and Deployment for Geospatial AI Applications

Project Kickoff: February 5, 2025

AI-Driven Store Shelves and Planogram Assessment - Omdena

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AI-Driven Store Shelves and Planogram Assessment

Project Kickoff: February 21, 2025

Smart Land Remediation Platform - Omdena

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Smart Land Remediation Platform

Project Kickoff: February 27, 2025

Intelligent Route Optimization Model for Field Sales Agents

Developing AI-powered solutions to revolutionize field sales operations, minimizing travel distances, optimizing...

Intelligent Route Optimization Model for Field Sales Agents - Omdena

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Project Kickoff: January 2, 2025

Building AI-Powered Knowledge Management and Document Retrieval System

Building AI-Powered Knowledge Management and Document Retrieval System - Omdena

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Project Kickoff: February 26, 2025

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...

3D Imagery Analysis & Segmentation - Omdena

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3D Imagery Analysis &#038; Segmentation

Project Kickoff: February 13, 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...

Street-Level Imagery Analysis - Omdena

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Street-Level Imagery Analysis

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...

Machine Learning for Earth Observation - Omdena

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Machine Learning for Earth Observation

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,...

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

https://cmsnew.omdena.com/wp-content/uploads/2024/12/vital-sign-monitors.jpg

Project Kickoff: December 19

Developing Web Based Platform for FOIA Requests Management 

Developing Web Based Platform for FOIA Requests Management - Omdena

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Developing Web Based Platform for FOIA Requests Management

Project Kickoff: December 2

Creating Specialized AI Agents For Disaster Management & Mitigation

Creating Specialized AI Agents For Disaster Management & Mitigation - Omdena

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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

AI Matching and Proposal Assistant for Inclusive Business Opportunities - Omdena

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Project Kickoff: October 28

Monitoring Plants Health with AI and Computer Vision - Omdena

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Monitoring Plants Health with AI and Computer Vision

Project Kickoff: January 18, 2025

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

The problem Offices worldwide face challenges because of the inefficiencies and delays...

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

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

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...

AI-Driven Resource Identification and Matching System - Omdena

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AI-Driven Resource Identification and Matching System

Project Kickoff: October 21

Developing an AI-driven predictive system to assess soil nutrients, specifically micro-nutrients like...

Soil Nutrient Prediction for Enhanced Fertilizer Recommendations - Omdena

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Soil Nutrient Prediction for Enhanced Fertilizer Recommendations

Project Kickoff: October 4

Developing an AI-driven assessment tool to evaluate primary school students&#8217; literacy and...

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

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

Project Kickoff: September 26

Developing an AI-driven system to predict missing data points using historical datasets,...

Crisis Impact Forecaster for Empowering Humanitarian Decisions - Omdena

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Crisis Impact Forecaster for Empowering Humanitarian Decisions

Project Kickoff: August 28

Empowering Wellness with Tailored Feedback and Lifestyle Recommendations - Omdena

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Empowering Wellness with Tailored Feedback and Lifestyle Recommendations

Project Kickoff: September 10

Developing an AI-driven modeling system using aerial imagery and point cloud data...

3D Roof Reconstruction with Computer Vision for Solar Energy Optimization - Omdena

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3D Roof Reconstruction with Computer Vision for Solar Energy Optimization

Project Kickoff: August 8

Accurately Identifying Crop Types Using Remote Sensing and Machine Learning - Omdena

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Real-world projects addressed
through collaboration.

Omdena Project Types

AI Innovation Projects

Local Chapter Projects

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