๐จ ๐๐ฅ๐๐๐๐๐ก๐: ๐๐จ๐ง๐ ๐๐ก๐ก๐ ๐ฆ๐ง๐จ๐๐๐ก๐ง๐ฆ ๐ฆ๐ง๐๐๐ ๐ฃ๐ฅ๐ข๐ง๐๐ฆ๐ง ๐ข๐ฉ๐๐ฅ ๐๐ก๐ฆ๐๐๐จ๐ฅ๐๐ง๐ฌ, ๐๐๐ข๐๐ ๐ ๐๐๐ข๐ฅ ๐ฅ๐ข๐๐
Students of the Federal University of Technology, Minna (FUTMINNA) have staged a peaceful protest over growing concerns about insecurity affecting the campus community.
The protesters blocked the major road leading to the university, disrupting traffic and the movement of commuters in the area.
Motorists are advised to use alternative routes while authorities monitor the situation.
*ยฉ๏ธGktvmedia*
๐๐ค๐ก๐ก๐ค๐ฌ @๐จ๐ช๐๐ฉ๐๐๐ก๐๐ฉ๐ซ ๐๐ค๐ง ๐ข๐ค๐ง๐ ๐ฃ๐๐๐๐ ๐๐๐๐ก๐ฎ ๐ฃ๐๐ฌ๐จ ๐ฐ
For our Week 4 Project under @hgeh_o mentorship, my teammates @ismail_busayo@MwasuNcha and I built the Break the Cycle Foundation.
Focus:
Ads: Visualizing "Intervention" & safety.
Web: we built the platform on Lovable.
The real challenge wasnโt connecting tools.
It was deciding where automation should act and where it should step back.
Good workflows scale because theyโre designed with intent, not because theyโre fast.
#Automation#AIEngineering#NoCode#SystemsThinking
In Week 3 of our AI/ML mentorship under our mentor @hgeh_o, my teammates(@MwasuNcha ,@ismail_busayo and Hinza) and I built three AI-driven solutions: a small business name generator, a community manager bot, and a non-diagnostic health symptom pre-screening system.
The AI Community Manager workflow was designed around a simple idea: donโt respond until you understand.
Messages are classified first, then routed based on intent, and only then acted upon. This mirrors how a human moderator thinks and reduces unnecessary automation noise.
As part of Week 2 of the AI Mentorship Program led by @hgeh_o ,
@Manuelxxix and I developed an AI-driven Telegram content moderation system using Pabbly Connect and Make .
This project gave us hands-on experience comparing no-code automation platforms, designing clean input/output flows, and integrating LLMs into practical automation use cases.
Thank you for guidance @hgeh_o
๐๐พ
We learn Continuously through building
For our week 2 project of our AI Mentorship course taught by @hgeh_o I and @Uf_aliyuN built an AI-powered Telegram content moderation workflow using both Pabbly Connect and https://t.co/qaRRJxQ1p8
The workflow processes incoming Telegram messages in real time, passes them through Google Gemini for content classification, and automatically responds based on the result.
Worked on a project with @Uf_aliyuN using https://t.co/s0SuWQmmZx to automate blog content creation, from outlining ideas to drafting complete articles.
Just finished working on our first project with @Manuelxxix using https://t.co/YTIzAlW35o to automate blog content creation, from outlining ideas to drafting complete articles