Projects using scikit-learn in Cape Town
Projects using scikit-learn in Cape Town
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Gary Ernstzen
Predictive Maintenance & AI Insights We created a bespoke AI-driven platform to revolutionize customer support for a prominent e-commerce enterprise. Confronted with a surge of inquiries and operational challenges, the client sought a scalable solution. Our team deployed a system leveraging machine learning models that automates ticket management, classifies inquiries, and delivers real-time predictive insights. This implementation has greatly diminished manual workload, enhanced response times, and boosted customer satisfaction through a more efficient and tailored support experience.
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Gary Ernstzen
Self-Hosted AI Assistant Platform We created an innovative solution by combining n8n and Ollama, facilitating seamless, local interactions with Large Language Models (LLMs). This self-hosted platform empowers businesses to operate AI models securely and privately on their own infrastructure, thereby removing the necessity for costly cloud services. With real-time data processing, economical model utilization, and improved AI response times, this platform is perfect for enterprises aiming to harness AI for experimentation, learning, and prototyping without depending on external cloud services. The solution not only ensures security and privacy but is also scalable to accommodate increasing user demands and expanding AI capabilities.
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Gary Ernstzen
Smart Booking & Scheduling System We developed a customized platform that connects tutors and alumni with students through the integration of Wix Bookings. This platform simplifies the booking and scheduling process, offering both flexibility and user-friendliness. Tutors and alumni are able to manage their availability, create profiles, and communicate efficiently with students, while students can effortlessly book sessions and share feedback. The outcome is a scalable solution that caters to the needs of individual tutors as well as larger educational institutions.
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Gary Ernstzen
AI-Driven Customer Support Efficiency We created a tailored AI-driven platform designed to revolutionize customer support for a prominent e-commerce company. Confronted with a surge in inquiries and operational hurdles, the client sought a scalable solution. Our team deployed a system utilizing machine learning models to automate ticket management, classify inquiries, and deliver real-time predictive insights. This implementation has notably diminished manual workload, enhanced response times, and boosted customer satisfaction by offering a more efficient and personalized support experience.
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