π Hi, I'm @kclaudeeager π Currently pursuing a Master of Science in Engineering Artificial Intelligence (MsEAI) at Carnegie Mellon University Africa (CMU Africa), with a focus on Natural Language Processing (NLP) and Computer Vision. π My region of interests includes NLP and Computer Vision, and I'm also passionate about software engineering, mobile app development, and web development. πΌ Experienced in software development with proficiency in Java, Python, and C++. I have hands-on experience in web development using React for frontend development. π± Additionally, I have experience in mobile app development for both iOS (Swift) and Android, as well as cross-platform development. π Furthermore, I'm familiar with backend development using Spring Boot for Java-based applications and Node.js for server-side JavaScript development. π± I'm constantly exploring new avenues to expand my skills and knowledge. ποΈ Open to collaboration on any software project, including those involving AI, IoT, mobile apps, and web development. π« You can easily reach me by leaving a comment, or through my email at [email protected], LinkedIn profile: https://www.linkedin.com/in/claude-kwizera, or by phone at +250 789728209 and +250 788722091.
- Nyarutarama, Kigali, Rwanda
- @Kwizeraeager
- in/claude-kwizera
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Natural-Language-Processing-to-Understand-Peer-Reactions-to-Expressions-of-Stress
Natural-Language-Processing-to-Understand-Peer-Reactions-to-Expressions-of-Stress PublicTo understand how to positively reframe or react to expressions of negative feelings on social media.
Jupyter Notebook 1
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AIBananaVision/Banana-diseases-classification-mobile-app
AIBananaVision/Banana-diseases-classification-mobile-app PublicThis project aims to combat significant banana diseases in East Africa, using a user- friendly AI application optimized for smartphones, ensuring simplicity and efficiency
Kotlin
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AIBananaVision/Banana-Vision-Resnet152
AIBananaVision/Banana-Vision-Resnet152 PublicThis project aims to combat significant banana diseases in East Africa, leveraging a comprehensive dataset of 16,092 banana leaf and stem images from Tanzania provided by Neema Mduma and Judith Leo.
Jupyter Notebook
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AmaliTech-Training-Rw/Meeting-Room-booking-App
AmaliTech-Training-Rw/Meeting-Room-booking-App PublicAndroid App for management meeting room
Kotlin
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