Are you an Industry Participant or do you have an AI product that you would wish to demonstrate with the African community? The Research in Africa Showcase is your chance to do so!
We invite submissions of a one page abstract of an AI Product Demo for the Deep Learning Indaba in 2023. Submissions are limited to selected attendees who wish to make a product demonstration during the Research in Africa Showcase Days.
Submission of the Product Demo Abstract is to be done using the registration form that will be shared with participants via Baobab.
Submission Deadline: 07 August 2023
INDUSTRY DEMO TALKS SCHEDULE ON TUESDAY 5TH SEPTEMBER, 2023 |
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Time | Presenter | Category | Title | |
SESSION ONE | ||||
11:00 | Nyalleng | Moorosi | Sponsor Talk: DAIR | DAIR Institute – Community Rooted AI Research |
11:20 | Kofi | Yeboah | Sponsor Talk: Mozilla | Mozilla’s Africa Innovation Program |
11:40 | Mary | Afram | Sponsor Talk: GIZ | GIZ’s work in AI- Highlight on Cashew Disease Identification Project in Ghana |
12:00 | Paul | Kennedy | Sponsor Talk: Zindi | How to use Zindi to land your dream data job |
12:20 | Alex | Laterre | Sponsor Talk: InstaDeep | Scaling Up Reinforcement Learning with JAX |
12:40 | Lunch | |||
SESSION TWO | ||||
16:30 | Jubilee Mzingaye | Sibanda | Invited Talk | Mtoliki (Zimbabwean Indigenous Language machine translation tool) |
16:45 | Noble | Mutabazi | Invited Talk | Machine Learning for PM2.5 Forecasting in Uganda: An AirQo Project |
17:00 | Flavia | Mayo | Invited Talk | Development of Deep Learning Model for early detection of maize diseases in Tanzania |
17:15 | Belayneh | Endalamaw | Invited Talk | Constructing Birth Weight Prediction Model Based on Maternal Determinate in Ethiopia Using Ensemble Machine Learning Algorithms |
17:30 | Marjan | Hussein | Invited Talk | Use of TinyML in Wearable Devices |
17:45 | Nadiera | Mustapha | Invited Talk | From Pixels to Plastic: Charting a Path to Detect, Track, and Count Oceanic Plastic Pollution through Computer Vision |
List of Industry Demo Presentations
Date: 6th September, 2023.
Time: 11:00 – 12:30
Demo # | First Name | Last Name | Demo Title |
1 | Aanuoluwapo | Akinniranye | African Fashion Outfit Recommendation System |
2 | Amelia | Taylor | Developing tools for predictive analysis of COVID-19 data in Malawi |
3 | Amine | Kerkeni | Leveraging LLMs in real life entreprise applications |
4 | Antony | Gitau | AI demo of the poster above |
5 | Asmelash Teka | Hadgu | Lesan |
6 | Atieno | Ogayo | African Voices |
7 | Audry Ashleen | Chivanga | Doctors Availability and Hospitals Schedulling App |
9 | Belayneh | Endalamaw | Constructing Birth Weight Prediction Model Based on Maternal Determinate in Ethiopia Using Ensemble Machine Learning Algorithms |
10 | Ben-Manson | Toussaint | Simplifying technical specialized localizations by combining AI translation and human proofreading in an automated process |
11 | Billy Peter | Munyenyembe | Briisp Student Exam Verification System |
12 | Brian | Halubanza | The use of IoT and Deep Learning in Locust identification |
13 | Christine | Muthee | CanAIRy alerts forecasts |
14 | Courteney | Mukoyi | VoteBot |
15 | CYNTHIA | JAYNE AMOL | PolitiKweli: A Swahili-English Code-switched Political Misinformation Classification Dataset |
16 | ELIZABETH | BENSON | A Hybrid model for Retinopathy of Prematurity stage III Diagnosis |
17 | Ezekiel | Sebastine | Edge AI for All: Breaking Down Language and Connectivity Barriers in Rural Africa |
18 | Fabiola | SABOUTEY TETTEY | Analyse de flux vidéos pour la détection d’irrégularités et le lancement d’alertes. |
19 | Flavia | Mayo | Development of Deep Learning Model for early detection of maize diseases in Tanzania |
20 | Fortune | Adekogbe | “Ehn” – A bidirectional English to Nigerian Pidgin Translation System |
21 | Francis | Saa-Dittoh | TIBaLLi Speak |
22 | Francois Gonothi | Toure | healtor – health monitoring system : Heart & Kidney health Intelligent Monitoring System |
23 | Gideon | Onyewuenyi | Revolutionizing the Brand Building Industry with AI |
24 | Houssem | Ben Khalfallah | Decision Support System Early detection For Sepsis |
25 | Ian | Omung’a | Vectorgram: An End to End Breast Cancer Diagnosis Platform |
26 | Isaac Oluwafemi | Ogunniyi | Vehicle CO2 emission prediction |
27 | JEAN | AMUKWATSE | Utilization of machine learning in screening for multi drug resistance TB |
28 | John | Eshun | Introduction to Data Science And Machine Learning. |
29 | Jubilee Mzingaye | Sibanda | Mtoliki (Zimbabwean Indigenous Language machine translation tool) |
30 | Justice | Aheto | Geospatial modelling and interactive web-based spatial mapping of zero dose vaccination coverage to inform control efforts in Nigeria |
31 | Kira | Dusterwald | Automatic staff rostering for hospital duties: an optimisation-based web application |
32 | Leonida | Mutuku | Building an AI Early Warning System for Maize in Kenya |
33 | Lisa | Limo Chemtai | MED(Mental health, epilepsy, diabetes) system and application |
34 | Macphail | Magwira | Project Hive |
35 | Maria | Schuld | PennyLane: Machine Learning with quantum computers |
36 | Marjan | Hussein | Use of TinyML in wearable devices |
37 | Mathews | Jere | Mtsogoleri |
38 | Mohammed | Mahjoub | Deep Learning for Natural Language Processing |
39 | Nabil | BADRI | Abusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation |
40 | Nana Sam | Yeboah | NSMQ AI |
41 | Nicholas | Musau | A Novel Automated Biodiversity Monitoring and Conservation Information System with Google Earth Engine |
42 | Nicolas | Lopez Carranza | DeepChain |
43 | Noble | Mutabazi | Machine Learning for PM2.5 Forecasting in Uganda: An AirQo Project |
44 | Nomsa | Nungu | The Journal |
45 | NUMFOR | ELMER CHENEMO | FLOOD PREDICTION SYSTEM |
46 | Oladimeji Samuel | Sowole | Zapi.ai – The Marketplace for AI APIs |
47 | RABBI | BOATENG | Remote Mapping of Algae on Walls of Building with a 3D Printed Hyperspectral Fluorescence Lidar |
48 | REDEEMER | SALAMI | Nahara-Med |
49 | Ronald | Tombe | Agricultural Social Networks: an agricultural value chain-based digitalization framework for an inclusive digital economy |
50 | Rutendo | Gandi | Building Assistive Educational Technologies for people living with disabilities using Artificial intelligence and Machine Learning . |
51 | Ruth | Yankson | Test Script Marker |
52 | Samuel | Rutunda | Bakame voice chatbot |
53 | Samuel Mwamburi | Mghendi | Akuko |
54 | Simbarashe Aldrin | Ngorima | Deep Learning for Future networks, Towards 6G |
55 | Sophie | Dabo | Spatial cluster detection |
56 | stephen | kalyesubula | Multi-Class prediction of Viral Load levels among Children and Adolescent HIV Patients using Supervised Machine Learning |
57 | Taliesin | Beynon | Hypergraphs for AI and reasoning |
58 | Tijesunimi | Amao | Later |
59 | Toufiq | Musah | Machine Learning in Microcontrollers |
60 | Walelign | Sewunetie | ChatGPT for Educators: Question and Answer Generation |
61 | Yawo | Kobara | Data-driven Queueing Systems (QS) Capacity Mining |
62 | Yousra | Farhani | PredEC |
63 | Zainab | Ashimiyu-Abdusalam | Advancements and Applications of AI in Drug Discovery: A Comprehensive Review and Experimental Case Study |