• Developed a classification system for genetic disorder sub-classes. • Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU. • Achieved 95.16% accuracy using a GRU-based model. • Presented research paper at IEEE ICCCNT Conference (IIT Indore).
2025
• Developed a classification system for genetic disorder sub-classes.
• Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU.
• Achieved 95.16% accuracy using a GRU-based model.
• Presented research paper at IEEE ICCCNT Conference (IIT Indore).
• Developed a classification system for genetic disorder sub-classes. • Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU. • Achieved 95.16% accuracy using a GRU-based model. • Presented research paper at IEEE ICCCNT Conference (IIT Indore).
2025
• Developed a classification system for genetic disorder sub-classes.
• Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU.
• Achieved 95.16% accuracy using a GRU-based model.
• Presented research paper at IEEE ICCCNT Conference (IIT Indore).
• Developed a classification system for genetic disorder sub-classes. • Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU. • Achieved 95.16% accuracy using a GRU-based model. • Presented research paper at IEEE ICCCNT Conference (IIT Indore).
2025
• Developed a classification system for genetic disorder sub-classes.
• Compared multiple ML models including Random Forest, XGBoost, LightGBM, and GRU.
• Achieved 95.16% accuracy using a GRU-based model.
• Presented research paper at IEEE ICCCNT Conference (IIT Indore).