Archive · 25 Oct 2025
Assam Schoolgirl's AI Research to Present at Azerbaijan Conference
A student named Huma from Assam, India, is going to present her research at a big science meeting in Azerbaijan.
Her project uses computers (AI) to figure out the best way to get a blue color (phycocyanin) from algae.
This color is used in foods, cosmetics, and medicines.
Huma's computer program is very accurate and could help make this process cheaper and better for the environment.
She is excited because her work could make a real difference in how things are made.
Her mentor helped her a lot, and she hopes to study computers in college to make more solutions like this.
Huma Abia Kanta's research was accepted for presentation at an AI and Machine Learning conference in Azerbaijan.
The research focuses on using machine learning to predict phycocyanin purity in bioprocessing.
The study compares machine learning algorithms for predicting phycocyanin purity.
Ensemble methods showed high accuracy in predicting phycocyanin purity.
Huma’s work underscores the potential for sustainable and cost-effective bioprocessing.
- Who
- Huma Abia Kanta, a Class XII student, and Dr. Ankur Pan Saikia.
- What
- Huma's research paper on AI-based prediction of phycocyanin purity was accepted for presentation at an international conference.
- When
- The conference is scheduled for October 30–31, 2025.
- Where
- Nakhchivan State University in Azerbaijan.
- Why
- To present research findings and exchange ideas on AI and machine learning in bioprocessing, potentially leading to more sustainable practices.
- Researcher
- Huma Abia Kanta
- School
- Royal Global School, Guwahati, Assam
- Research Title
- Machine Learning-Based Prediction of Phycocyanin Purity from Freeze–Thaw Extraction Parameters Using Regression Models
- Conference
- Advancement and Innovation: Artificial Intelligence and Machine Learning – I International Scientific-Practical Conference
- Conference Location
- Nakhchivan State University, Azerbaijan
- Conference Dates
- October 30–31, 2025
- Co-Author
- Dr. Ankur Pan Saikia