I'm a Tech Entrepreneur, AI Developer, and IoT Solution Engineer with a strong passion for leveraging technology to solve real-world problems. As the Founder of PromptTo, I lead a multidisciplinary team focused on creating impactful AI, robotics, and software solutions for Africa and beyond.

Additionally, I serve as the African Ambassador for Kwaai AI Lab, advocating for open-source Personal AI to democratize technology access across the continent.

• Designing and deploying IoT systems for smart farming, environmental monitoring, and automation.
• Expertise in hardware integration, cloud-based data analytics, and mobile application connectivity.

• Developing and fine-tuning NLP models for sentiment analysis, chatbots, and content generation.
• Exploring innovative AI applications for social media, healthcare, and education.
• Expert in machine learning models development with no exemption to Deep Learning.

• Promoting inclusive and accessible technology solutions through education, mentorship, and community engagement.
• Driving open-source AI adoption in underserved regions.

• AI-Powered Content Generator: Developed a content creation tool that generates blogs, captions, and tweets based on user prompts.
• Text Summarization and Analysis Tool: Developed an NLP-based tool to summarize and analyze lengthy texts such as articles or reports for better accessibility.
• Market Price for Farm Harvested crops: Finetuned a MBERT and route it with real time market analysis to predict farm output prices.
• Maize Farm Yield Prediction: Developed a K-Means Clustering model to analyze soil parameters, the system identifies clusters of soil conditions and predicts the expected yield for specific conditions.
• Sentiment Analysis Engine: Developed and fine-tuned a sentiment analysis model based on the BERT architecture. The system classifies customer feedback into positive, neutral, or negative sentiments with high accuracy.

• Smart Soil Monitoring System: Developed a real-time soil monitoring system using IoT and sensors to measure pH, NPK, temperature, moisture, and electrical conductivity.

Technologies: ESP32, RS485 7-in-1 sensor, ThingSpeak, Web.

• Fish Pond Monitoring System: Designed an IoT-based system to monitor key parameters in fish ponds, including pH, temperature, ammonia levels, and dissolved oxygen.

Technologies: ESP32, IoT sensors, HTML/CSS, ThingSpeak, GSM module, PHP, Python

• IoT Weather Station: Designed a weather monitoring system to measure temperature, humidity, wind speed, and rainfall.

Technologies: Arduino, ESP32, DHT11 sensor, ThingSpeak, Python.

• Smart Irrigation System: Built an automated irrigation system that optimizes water usage based on soil moisture levels.

Technologies: ESP32, Soil Moisture Sensor, Solar panel, IoT platform.

• BB8 Robot: Built a functional BB8-inspired robot capable of remote-controlled movement and object detection.

Technologies: Arduino, Motor Drivers, Bluetooth Module, Ultrasonic Sensors.

• Spearheaded the first-ever circular economy and e-waste management project in my region.
• Trained and mentored over 1,000 individuals in IoT, AI, and software development, with a 65% success rate in job readiness.
• Award-winning mentor, enabling five students to secure academic scholarships.

• 🖥️ PromptTo Website (Coming Soon)
• 📫 Email: [abdulisbaba@gmail.com]
• 🐦 Twitter: @hydrostechAP
• 💼 LinkedIn: Abdulrahman Abdulrahman

I believe in a future where humans and machines are always in the loop, co-creating a world of endless possibilities.