Real-World Project Based AI Learning Course

The course is for Machine Learning and Data Science enthusiast who wants to excel in their Knowledge with real-world practical examples of AI.

The purpose of the course is to share open source real-world projects developed by the collaboration at Omdena as core challenges with various organizations. This course will help the learner to use these available resources for a better understanding of basic knowledge of Machine Learning and Data Science with real-world practical example projects.

Note: Learners will get access to the resources of the Open Source Projects. All the code can be redistributed and/or modified under the terms of the GNU General Public License v3.0.

Basic Understanding of Machine learning and AI project execution.

Following are open source challenges (projects):

• Identifying Dumpsites to Contribute to a Cleaner World
• Transitioning Toward a Sustainable Energy System
• Predicting Climate Change and Forced Displacement  
• Improving the Aftermath Management of an Earthquake
• Analyzing Domestic Violence and Online Harassment During COVID19
• Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics
• Fighting Hunger Through Machine Learning Based Crop Classification
• Mars Anomaly Detection on Mars Using Deep Learning
• Machine Learning for Credit Scoring: Banking the unbanked!
• Applying Artificial Intelligence to the Student Debt Crisis
• Analyzing the Importance of Sex Education With AI
• Preventing Gang and Gun Violence Via Social Media Analysis
• AI for Mental Health: A Chatbot for PTSD Assessment
• Building an AI Solution to Prevent Online Sexual Abuse of Children
• Harnessing AI in Africa for Renewable Energy Access
• AI for Disaster Response: Improving Emergency Management During Cyclones
• Assessing the Impact of Desert Locusts 
• Improving Food Security and Crop Yield in Senegal
• Digital Divide: Analyzing the Role of Connectivity on Economic & Human Development
• Understanding Land Ownership in Kenya to Help Restore Lands
• Preventing Sexual Harassment With Artificial Intelligence
• Increasing Clean Energy Access in Africa
• Applying Remote Sensing and Computer Vision for Farming Habitat Classification
• Quantifying the Impact of Forest Landscape Restoration Through Predictive Analytics 
• Using Computer Vision to Estimate Biomass of Fish for Sustainable Food Production
• Digitization of Plan Layouts using Artificial Intelligence

The following are open-source local chapter challenges(projects):

• Building Open Source NLP Libraries & Tools for the Arabic Language
• Increasing Renewable Energy Access in the Philippines through AI
• AI for Credit Worthiness 
• Identifying flood-prone regions and assessing the impact of floods in Kenya using satellite data
• Leveraging Machine Learning to predict the accomplishment rate of startups
• Improving Food Security & Crop Yield in Malaysia using Machine Learning
• Bangladesh Chapter – AI for improving Road Safety in Bangladesh
• AI For Energy in Nigeria
• Fight hunger through machine learning-based crop classification in Uganda
• Exploring the Impact of Covid-19 on Mental Health in Singapore using NLP
• AI in Governance: Assess the impact of policies enforced across the world and promote good governance through AI
• Leveraging AI to Analyse the Socio-Economic Impact of Covid19 in India 
• Harnessing AI for Renewable Energy Access in Mexico
• AI Applied: Reducing the energy crises in Pakistan using Machine Learning
• Building a report on what impact the decrease in mobility has had on air pollution in France due to several lockdowns
• Machine Learning for Credit Scoring: Banking the unbankable in Nigeria
• Applying Computer Vision Models to ElectroCardioGram (ECG) Images to help reduce heart attack deaths
• Improving the Aftermath Management of an Earthquake
• Using AI to Improve Quality of Green Tea Leaves in Sri Lanka
• AI Techniques to Reduce the Wasting of Freshwater
• Identifying insights and perspectives on Colombia’s national strike in social networks using NLP
• Preventing Gang and Gun Violence Via Social Media Analysis
• Improving Food Security and Crop Yield
• Improving Food Security and Crop Yield in Kenya Through Machine Learning
• Improving Food Security and Crop Yield in Nigeria through Machine Learning
• Use of AI for Improving Quality of Green Tea Leaves in Sri Lanka (Phase II)
• Applying Data Analytics & ML methods to decrease Homelessness
• Building a Career Recommendation System to make suggestions for students
• Building a tracking dashboard for the Flu
• Developing an AI-driven & Secure Online Marketplace 
• Understanding Candidate Network and Persona through Computational Politics
• Fighting illegal dumping in Mexico through building a predictive model 
• Building Tunisia Renewable Energy Map 
• Pakistan COVID-19 Analysis
• Building deep learning models to detect suicidal posts in modern standard Arabic 
• AI For Unemployment in Nigeria 
• Leveraging Data Science Techniques to Raise Awareness of Air Pollution in Nigeria 
• Build Web Application Dashboard To Report The Covid Situation In Kenya 
• Improving Fishing Activities in Kenya’s Lakes Region using Geo-Data
• Using AI to Translate Data Science Content into Arabic
• Automatic Number Plate Detection for the security of lives and properties using Computer Vision
• Utilizing AI/ML and Satellite Imagery to Increase Water Efficiency for Rice Farming
• Analyzing Gender Violence on Twitter During COVID19 in El Salvador
• Finding Paths to Safety Following Natural Disasters with Satellite Imaging and AI
• Applying Machine Learning to Understand Different Factors that Influence School Performance
• Desertification Detection with Deep Learning and Satellite Data
• Water Quality Monitoring Dashboard for Kutch Region
• Optimization Project – ElectroCardioGram interpretation using computer vision
• Anomaly detection on Martian’s surface using Deep learning
• AI for Road Safety in India
• Building a chatbot to help with the general mental well-being of the Australian community
• SilicoData Science for Climate Change: Mitigate Greenhouse Gases Emissions by reducing the energy consumption of buildings
• Feasibility and ROI Analysis for Renewable Resources  Infrastructure using Computer Vision 
• Using Machine Learning to Reduce Food Waste 
• Creating & Analysing Open Data About Egypt
• Fake news detector in LATAM
• Improve sorting and segregation of waste using machine learning
• Using deep learning for skin cancer detection – (Only for students of Alexandria University)
• Using AI to detect plant disease
• Effects of Weather Change on the Mental Health ( Studied for London)
• A Study of Text Classification Natural Language Processing Algorithms in Wolof
• Using data science for lung disease detection
• Hot Topic detection and tracking on AFCON 2021 in Cameroon
• Automatic River Encroachment Detection in Bangladesh with Machine Learning and Remote Sensing
• Text-based healthcare chatbot supporting admitted patients 
• Analyzing Public Dataset in Nigeria
• Predicting Earthquakes with Machine Learning
• Anomaly Detection on the Martian Surface (continuation) 
• Predicting Housing Affordability of Canada’s metropolitan region 
• Yarub Library for Arab World
• Pre-Challenge (Data Gathering) – Detecting Air Pollution in Nigeria using Machine Learning and Satellite Imagery
• Data Science for Climate Change: Mitigate Greenhouse Gases Emissions by reducing the energy consumption of buildings (part 1)
• Pre-Challenge (Data Gathering)– Improve food security and Crop Yield in Zimbabwe
• Combating Heatwaves with AI and Satellite Images
• Electricity Power Outage Analysis in Tamilnadu, India
• Analysis of Climate Change in Nigeria
• Implementation of an AI-powered chatbot to help with the general Mental-hygiene of the Sri Lankan community
• Using social media to study the phenomenon of Long Covid in Italy
• Building AI-Powered Chatbot to Offer 24/7 Support Services  For University Website
• AI for Climate Change / continuation (part 2) 
• Suggested routes within Medellín’s public transportation system (Subway)
• Detection and Prediction of Soil Nutrient Deficiency using Satellite Imagery (part I)
• Electricity Power Outage Analysis in Tamilnadu, India (support applicants, part 2)
• Correlations between multiple databases, County Average income and Employed Bus riders in Winston-Salem, NC.
• Leveraging AI to combat online misinformation
• Coastal Erosion-based Assessment of Sagar Island using Satellite Data and AI
• Addressing the issue of pipe-borne water availability in Lagos, Nigeria.