- π Hi, Iβm Victor Akoh, working part-time as a backend developer at Vahlid.
- π Iβm currently working on the backend of a Logistic Application.
- π Iβm an Artificial intelligence and web3 enthusiast.
- π I graduated from Federal University Lokoja, department of Computer Science.
- ποΈ Iβm looking to collaborate on full stack projects.
- π·ββοΈ I'm currently open to work remotely.
- π I love to connect, network and learn from new people.
eLogbook | Lendsqr Test App |
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LOGIN INFO LINK: https://elogbook.vercel.app/admin ADMIN: [email protected] Password: admin STUDENT: [email protected] Password: 123456789 COORDINATOR: [email protected] Password: 123456789 SUPERVISOR: [email protected] Password: 123456789 ORGANISATION: [email protected] Password: 123456789 |
Input random email and password to login |
Cyberbullying Detection App | RideSmart |
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Input Tweets | Signup using matric No with this format: FAS17CHM035 Let the First three characters be alphabets, the 4thβ5th characters be numbers, the 6thβ8th characters be alphabets, and the remaining three characters be numbers. PASSENGER LOGIN INFO matricNo: FAS17SIO038 Password: 123456789 DRIVER LOGIN INFO email: [email protected] Password: 123456789 email [email protected] Password: 123456789 |
EmergTrack | ByteQuiz |
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Admin Link: https://emergtrack.vercel.app/admin Email: [email protected] Password: adminX DRIVER Email: [email protected] Password: 123456789 RIDER Email: [email protected] Password: 123456789 USER Email: [email protected] Password: 123456789 |
Login Test Accounts Username: [email protected] Password: 123456 Username: [email protected] Password: 123456 |
Complaint Management System (CMS) | Roboflow Supervision Detector |
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Login Details Student Affairs Account Email: [email protected] Password: 123456 Student Account Matric Number: SU20231212 Password: 123456 |
Roboflow Supervision Object Detector is a powerful React webapp that uses Python Roboflow Supervision module for automating the process of identifying and classifying objects within images. This technology leverages advanced machine learning models and computer vision algorithms to enable users to train, evaluate, and deploy object detection models efficiently. |