{"id":765,"date":"2023-05-18T13:21:43","date_gmt":"2023-05-18T13:21:43","guid":{"rendered":"https:\/\/deeplearningindaba.com\/2023\/?page_id=765"},"modified":"2023-09-04T18:31:12","modified_gmt":"2023-09-04T18:31:12","slug":"ai-product-demos","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/2023\/ai-product-demos\/","title":{"rendered":"AI PRODUCT DEMOS"},"content":{"rendered":"

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!<\/p>\n

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.<\/p>\n

Submission of the Product Demo Abstract is to be done using the registration form that will be shared with participants via Baobab<\/a>. <\/p>\n

Submission Deadline: 07 August 2023<\/p>\n<\/p>\n\n\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0<\/td>\nINDUSTRY DEMO TALKS SCHEDULE ON TUESDAY 5TH SEPTEMBER, 2023
<\/strong><\/td>\n<\/tr>\n
Time<\/strong><\/td>\nPresenter<\/strong><\/td>\nCategory<\/strong><\/td>\nTitle<\/strong><\/td>\n<\/tr>\n
SESSION ONE<\/strong><\/td>\n<\/tr>\n
11:00<\/td>\nNyalleng<\/td>\nMoorosi<\/td>\nSponsor Talk: DAIR<\/td>\nDAIR Institute – Community Rooted AI Research<\/em><\/td>\n<\/tr>\n
11:20<\/td>\nKofi<\/td>\nYeboah<\/td>\nSponsor Talk: Mozilla<\/td>\nMozilla’s Africa Innovation Program<\/em><\/td>\n<\/tr>\n
11:40<\/td>\nMary<\/td>\nAfram<\/td>\nSponsor Talk: GIZ<\/td>\nGIZ\u2019s work in AI- Highlight on Cashew Disease Identification Project in Ghana<\/i><\/u><\/u><\/td>\n<\/tr>\n
12:00<\/td>\nPaul<\/td>\nKennedy<\/td>\nSponsor Talk: Zindi<\/td>\nHow to use Zindi to land your dream data job<\/em><\/td>\n<\/tr>\n
12:20<\/td>\nAlex<\/td>\nLaterre<\/td>\nSponsor Talk: InstaDeep<\/td>\nScaling Up Reinforcement Learning with JAX<\/em><\/td>\n<\/tr>\n
12:40<\/td>\nLunch<\/strong><\/td>\n<\/tr>\n
SESSION TWO<\/strong><\/td>\n<\/tr>\n
16:30<\/td>\nJubilee Mzingaye<\/td>\nSibanda<\/td>\nInvited Talk<\/td>\nMtoliki (Zimbabwean Indigenous Language machine translation tool)<\/em><\/td>\n<\/tr>\n
16:45<\/td>\nNoble<\/td>\nMutabazi<\/td>\nInvited Talk<\/td>\nMachine Learning for PM2.5 Forecasting in Uganda: An AirQo Project<\/em><\/td>\n<\/tr>\n
17:00<\/td>\nFlavia<\/td>\nMayo<\/td>\nInvited Talk<\/td>\nDevelopment of Deep Learning Model for early detection of maize diseases in Tanzania<\/em><\/td>\n<\/tr>\n
17:15<\/td>\nBelayneh<\/td>\nEndalamaw<\/td>\nInvited Talk<\/td>\nConstructing Birth Weight Prediction Model Based on Maternal Determinate in Ethiopia Using Ensemble Machine Learning Algorithm<\/em>s<\/td>\n<\/tr>\n
17:30<\/td>\nMarjan<\/td>\nHussein<\/td>\nInvited Talk<\/td>\nUse of TinyML in Wearable Devices<\/em><\/td>\n<\/tr>\n
17:45<\/td>\nNadiera<\/td>\nMustapha<\/td>\nInvited Talk<\/td>\nFrom Pixels to Plastic: Charting a Path to Detect, Track, and Count Oceanic Plastic Pollution through Computer Vision<\/em><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

List of Industry Demo Presentations<\/strong> <\/p>\n

Date:<\/strong> 6th September, 2023. <\/p>\n

Time:<\/strong> 11:00 – 12:30<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Demo #<\/strong><\/td>\nFirst Name<\/strong><\/td>\nLast Name<\/strong><\/td>\nDemo Title<\/strong><\/td>\n<\/tr>\n
1<\/td>\nAanuoluwapo <\/td>\nAkinniranye <\/td>\nAfrican Fashion Outfit Recommendation System<\/td>\n<\/tr>\n
2<\/td>\nAmelia<\/td>\nTaylor<\/td>\nDeveloping tools for predictive analysis of COVID-19 data in Malawi<\/td>\n<\/tr>\n
3<\/td>\nAmine<\/td>\nKerkeni<\/td>\nLeveraging LLMs in real life entreprise applications<\/td>\n<\/tr>\n
4<\/td>\nAntony<\/td>\nGitau<\/td>\nAI demo of the poster above<\/td>\n<\/tr>\n
5<\/td>\nAsmelash Teka<\/td>\nHadgu<\/td>\nLesan<\/td>\n<\/tr>\n
6<\/td>\nAtieno<\/td>\nOgayo<\/td>\nAfrican Voices<\/td>\n<\/tr>\n
7<\/td>\nAudry Ashleen <\/td>\nChivanga<\/td>\nDoctors Availability and Hospitals Schedulling App<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9<\/td>\nBelayneh<\/td>\nEndalamaw<\/td>\nConstructing Birth Weight Prediction Model Based on Maternal Determinate in Ethiopia Using Ensemble Machine Learning Algorithms<\/td>\n<\/tr>\n
10<\/td>\nBen-Manson<\/td>\nToussaint<\/td>\nSimplifying technical specialized localizations by combining AI translation and human proofreading in an automated process<\/td>\n<\/tr>\n
11<\/td>\nBilly Peter<\/td>\nMunyenyembe<\/td>\nBriisp Student Exam Verification System<\/td>\n<\/tr>\n
12<\/td>\nBrian<\/td>\nHalubanza<\/td>\nThe use of IoT and Deep Learning in Locust identification<\/td>\n<\/tr>\n
13<\/td>\nChristine<\/td>\nMuthee<\/td>\nCanAIRy alerts forecasts<\/td>\n<\/tr>\n
14<\/td>\nCourteney<\/td>\nMukoyi<\/td>\nVoteBot<\/td>\n<\/tr>\n
15<\/td>\nCYNTHIA<\/td>\nJAYNE AMOL<\/td>\nPolitiKweli: A Swahili-English Code-switched Political Misinformation Classification Dataset<\/td>\n<\/tr>\n
16<\/td>\nELIZABETH<\/td>\nBENSON<\/td>\nA Hybrid model for Retinopathy of Prematurity stage III Diagnosis <\/td>\n<\/tr>\n
17<\/td>\nEzekiel <\/td>\nSebastine<\/td>\nEdge AI for All: Breaking Down Language and Connectivity Barriers in Rural Africa<\/td>\n<\/tr>\n
18<\/td>\nFabiola<\/td>\nSABOUTEY TETTEY<\/td>\nAnalyse de flux vid\u00c3\u00a9os pour la d\u00c3\u00a9tection d\u00e2\u20ac\u2122irr\u00c3\u00a9gularit\u00c3\u00a9s et le lancement d\u00e2\u20ac\u2122alertes.<\/td>\n<\/tr>\n
19<\/td>\nFlavia<\/td>\nMayo<\/td>\nDevelopment of Deep Learning Model for early detection of maize diseases in Tanzania<\/td>\n<\/tr>\n
20<\/td>\nFortune<\/td>\nAdekogbe<\/td>\n“Ehn” – A bidirectional English to Nigerian Pidgin Translation System<\/td>\n<\/tr>\n
21<\/td>\nFrancis<\/td>\nSaa-Dittoh<\/td>\nTIBaLLi Speak<\/td>\n<\/tr>\n
22<\/td>\nFrancois Gonothi<\/td>\nToure<\/td>\nhealtor – health monitoring system : Heart & Kidney health Intelligent Monitoring System<\/td>\n<\/tr>\n
23<\/td>\nGideon<\/td>\nOnyewuenyi<\/td>\nRevolutionizing the Brand Building Industry with AI<\/td>\n<\/tr>\n
24<\/td>\nHoussem<\/td>\nBen Khalfallah<\/td>\nDecision Support System Early detection For Sepsis<\/td>\n<\/tr>\n
25<\/td>\nIan<\/td>\nOmung’a<\/td>\nVectorgram: An End to End Breast Cancer Diagnosis Platform<\/td>\n<\/tr>\n
26<\/td>\nIsaac Oluwafemi<\/td>\nOgunniyi<\/td>\nVehicle CO2 emission prediction<\/td>\n<\/tr>\n
27<\/td>\nJEAN<\/td>\nAMUKWATSE<\/td>\nUtilization of machine learning in screening for multi drug resistance TB<\/td>\n<\/tr>\n
28<\/td>\nJohn<\/td>\nEshun<\/td>\nIntroduction to Data Science And Machine Learning.<\/td>\n<\/tr>\n
29<\/td>\nJubilee Mzingaye<\/td>\nSibanda<\/td>\nMtoliki (Zimbabwean Indigenous Language machine translation tool)<\/td>\n<\/tr>\n
30<\/td>\nJustice<\/td>\nAheto<\/td>\nGeospatial modelling and interactive web-based spatial mapping of zero dose vaccination coverage to inform control efforts in Nigeria<\/td>\n<\/tr>\n
31<\/td>\nKira<\/td>\nDusterwald<\/td>\nAutomatic staff rostering for hospital duties: an optimisation-based web application<\/td>\n<\/tr>\n
32<\/td>\nLeonida<\/td>\nMutuku<\/td>\nBuilding an AI Early Warning System for Maize in Kenya<\/td>\n<\/tr>\n
33<\/td>\nLisa<\/td>\nLimo Chemtai<\/td>\nMED(Mental health, epilepsy, diabetes) system and application<\/td>\n<\/tr>\n
34<\/td>\nMacphail<\/td>\nMagwira<\/td>\nProject Hive<\/td>\n<\/tr>\n
35<\/td>\nMaria<\/td>\nSchuld<\/td>\nPennyLane: Machine Learning with quantum computers <\/td>\n<\/tr>\n
36<\/td>\nMarjan<\/td>\nHussein<\/td>\nUse of TinyML in wearable devices<\/td>\n<\/tr>\n
37<\/td>\nMathews<\/td>\nJere<\/td>\nMtsogoleri<\/td>\n<\/tr>\n
38<\/td>\nMohammed<\/td>\nMahjoub<\/td>\nDeep Learning for Natural Language Processing<\/td>\n<\/tr>\n
39<\/td>\nNabil<\/td>\nBADRI<\/td>\nAbusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation<\/td>\n<\/tr>\n
40<\/td>\nNana Sam<\/td>\nYeboah<\/td>\nNSMQ AI<\/td>\n<\/tr>\n
41<\/td>\nNicholas<\/td>\nMusau<\/td>\nA Novel Automated Biodiversity Monitoring and Conservation Information System with Google Earth Engine<\/td>\n<\/tr>\n
42<\/td>\nNicolas <\/td>\nLopez Carranza <\/td>\nDeepChain <\/td>\n<\/tr>\n
43<\/td>\nNoble<\/td>\nMutabazi<\/td>\nMachine Learning for PM2.5 Forecasting in Uganda: An AirQo Project<\/td>\n<\/tr>\n
44<\/td>\nNomsa<\/td>\nNungu <\/td>\nThe Journal<\/td>\n<\/tr>\n
45<\/td>\nNUMFOR<\/td>\nELMER CHENEMO<\/td>\nFLOOD PREDICTION SYSTEM<\/td>\n<\/tr>\n
46<\/td>\nOladimeji Samuel<\/td>\nSowole<\/td>\nZapi.ai – The Marketplace for AI APIs<\/td>\n<\/tr>\n
47<\/td>\nRABBI<\/td>\nBOATENG<\/td>\nRemote Mapping of Algae on Walls of Building with a 3D Printed Hyperspectral Fluorescence Lidar<\/td>\n<\/tr>\n
48<\/td>\nREDEEMER<\/td>\nSALAMI<\/td>\nNahara-Med<\/td>\n<\/tr>\n
49<\/td>\nRonald<\/td>\nTombe<\/td>\nAgricultural Social Networks: an agricultural value chain-based digitalization framework for an inclusive digital economy<\/td>\n<\/tr>\n
50<\/td>\nRutendo<\/td>\nGandi<\/td>\nBuilding Assistive Educational Technologies for people living with disabilities using Artificial intelligence and Machine Learning . <\/td>\n<\/tr>\n
51<\/td>\nRuth<\/td>\nYankson<\/td>\nTest Script Marker<\/td>\n<\/tr>\n
52<\/td>\nSamuel<\/td>\nRutunda<\/td>\nBakame voice chatbot<\/td>\n<\/tr>\n
53<\/td>\nSamuel Mwamburi<\/td>\nMghendi<\/td>\nAkuko<\/td>\n<\/tr>\n
54<\/td>\nSimbarashe Aldrin<\/td>\nNgorima<\/td>\nDeep Learning for Future networks, Towards 6G<\/td>\n<\/tr>\n
55<\/td>\nSophie<\/td>\nDabo<\/td>\nSpatial cluster detection<\/td>\n<\/tr>\n
56<\/td>\nstephen <\/td>\nkalyesubula<\/td>\nMulti-Class prediction of Viral Load levels among Children and Adolescent HIV Patients using Supervised Machine Learning<\/td>\n<\/tr>\n
57<\/td>\nTaliesin<\/td>\nBeynon<\/td>\nHypergraphs for AI and reasoning<\/td>\n<\/tr>\n
58<\/td>\nTijesunimi <\/td>\nAmao<\/td>\nLater<\/td>\n<\/tr>\n
59<\/td>\nToufiq<\/td>\nMusah<\/td>\nMachine Learning in Microcontrollers<\/td>\n<\/tr>\n
60<\/td>\nWalelign<\/td>\nSewunetie<\/td>\nChatGPT for Educators: Question and Answer Generation<\/td>\n<\/tr>\n
61<\/td>\nYawo<\/td>\nKobara<\/td>\nData-driven Queueing Systems (QS) Capacity Mining<\/td>\n<\/tr>\n
62<\/td>\nYousra<\/td>\nFarhani<\/td>\nPredEC<\/td>\n<\/tr>\n
63<\/td>\nZainab<\/td>\nAshimiyu-Abdusalam <\/td>\nAdvancements and Applications of AI in Drug Discovery: A Comprehensive Review and Experimental Case Study<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"author":24,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-765","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nAI PRODUCT DEMOS - Deep Learning Indaba 2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/deeplearningindaba.com\/2023\/ai-product-demos\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI PRODUCT DEMOS - Deep Learning Indaba 2023\" \/>\n<meta property=\"og:description\" content=\"Are you an Industry Participant or do you have an AI product that you would wish to demonstrate with the African community? 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