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godsonfoll

Godson Follin

@godsonfoll

Transforming Complex AI into Intuitive Mobile Solutions

United States
English, German, French
About me
Building an app is easy; making it "smart" and scalable is the challenge. I specialize in developing AI-driven mobile applications that solve real-world problems whether it’s automating workflows with LLMs, integrating real-time computer vision or building predictive analytics into your UX. I bridge the gap between sophisticated backend AI and high-performance mobile interfaces (iOS & Android). My focus is on creating seamless end-to-end solutions that don't just feature AI as a gimmick but use it to drive actual business value and user retention. Let’s build something intelligent.... Read more

Skills

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godsonfoll
Godson Follin
Offline • 
Average response time: 2 hours

See my services

AI Mobile Apps
I will ai mobile app development ai saas mvp flutter android and ios agentic ai app
From$90 / projectMore details
Cross-Platform Development
I will build flutter ai fitness mobile app ai coaches chatbot with wearable integration
From$100 / projectMore details

Work experience

Fitness_Hacks For Life

AI-Driven Predictive Wellness & Task Orchestrator

Fitness Hacks For Life • Freelance

Oct 2025 - Nov 2025 • 1 mo

A client needed a mobile solution for high-performance professionals who struggled with "decision fatigue" and burnout. Existing calendar apps were static and didn't account for the user's actual energy levels or mental well-being, leading to missed deadlines and low engagement. The Solution (Action): I developed a cross-platform mobile application (Flutter) integrated with a custom-tuned LLM (Large Language Model) and biometric data processing. 1. Neural Task Scheduling: Built an algorithm that re-prioritizes tasks in real-time based on the user's "digital body language" and sleep data. 2. Sentiment-Aware Coaching: Integrated a voice-enabled AI assistant that uses NLP to detect stress markers in the user's voice, offering immediate 30-second mindfulness interventions. 3. Edge AI Implementation: Optimized the ML models using TensorFlow Lite to ensure 90% of the AI processing happened on-device, ensuring total user privacy and offline functionality. The Result (Impact): - 40% Increase in user task completion rates within the first 30 days. - 92% Accuracy in predicting "burnout windows" before they occurred. - Successfully launched on both iOS and Android, maintaining a 4.8-star rating.