Wilson Phiri@Cron

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Events attended

Submissions made

Zambia

2 years of experience

About me

Technology enthusiast, focused, self driven

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Wilson Phiri

Technology enthusiast, focused, self driven

software engineer with a focus on artificial intelligence and machine learning. Throughout my academic journey, I’ve cultivated a strong foundation in computer science, and I’ve had the opportunity to apply these skills in practical settings. During my time as a student, I actively sought out projects that allowed me to explore the intersection of AI and software development. For instance, I engaged in a collaborative effort to develop a predictive analytics model for TimeSeries problem . This experience not only honed my programming skills but also sparked my passion for leveraging AI to solve real-world challenges. I also undertook internships that provided hands-on experience in implementing machine learning algorithms. In one particular internship, I contributed to the development of a recommendation system that significantly improved user engagement. This experience allowed me to apply my theoretical knowledge in a professional setting and exposed me to the intricacies of deploying machine learning models in a production environment. Drowness detection while divring (https://github.com/abdalrahmenyousifMohamed/Drowness-Detection-OpenCV) - Low back pain |Lumber spain detection by values provided by sensors is placed in back of patient or MRI data (https://github.com/abdalrahmenyousifMohamed/LBP) - TwiteGenius a groundbreaking startup at the intersection of AI and social media(https://github.com/abdalrahmenyousifMohamed/TwitGenius)

🤓 Submissions

Weather Ai

The weather AI app is a multifaceted platform designed to offer more than just standard weather updates. It integrates real-time weather data for any location, fetching details like temperature, humidity, wind speed, and weather descriptions using the OpenWeatherMap API. Additionally, the app retrieves an image of the location from the Unsplash API, providing a visual representation of the place for a richer user experience. One of the unique aspects of the app is its ability to generate personalized suggestions based on the current weather. For instance, depending on the temperature and weather conditions (rain, snow, clear skies), the app suggests suitable clothing, activities, and even whether it's a good day for a picnic. These recommendations are generated using Hugging Face’s GPT-2 model, adding a layer of AI-driven decision-making to enhance user interaction. To further elevate the experience, the app converts these recommendations into audio using Hugging Face's FastSpeech2 model. This feature allows users to listen to the recommendations instead of reading them, making the app accessible and interactive for various users. Overall, the app combines real-time weather data, city imagery, smart suggestions, and voice-enabled features to deliver an engaging and informative weather solution.

Hackathon link

AI Travel Planner and Smart Scheduler

The Group Travel Calendar app revolutionizes how friends, families, or colleagues plan trips together. The app seamlessly integrates with popular calendar providers, allowing users to visualize everyone's availability in one place. The AI-powered scheduling engine suggests optimal travel dates, considering individual preferences and potential conflicts. The collaborative itinerary builder fosters group decision-making, ensuring everyone has a voice in crafting the perfect trip. The app also offers optional travel booking integration for added convenience. With timely notifications and reminders, no one misses a beat. The Group Travel Calendar app transforms the often stressful process of group travel planning into a fun and collaborative experience, ensuring everyone's excitement builds from the very first step.

Hackathon link