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Research
Exploring the frontiers of AI through peer-reviewed research. Computer vision, deep learning, NLP, and genomic AI.
ISAECT 2025Published
Vision-Language Assistive Navigation for Visually Impaired Using BLIP Fine-Tuning
Fine-tuned BLIP model using 3-stage LoRA for visual-language assistive navigation. Published at ISAECT 2025.
Charan Sai Ponnada, Dr. S. Kumar, R. Patel
Vision-Language ModelsBLIPLoRAAssistive Navigation
BLEU Score Gain
+18%
Dataset Size
50K pairs
LoRA Stages
3-Stage
Inference Speed
2.5x
IEEE InCODE-2026In Review
Semantic Consistency for Hallucination Detection in Large Language Models
Novel framework for detecting hallucinations in LLMs using semantic consistency checking. Under review at IEEE InCODE-2026.
Charan Sai Ponnada, Dr. A. Reddy
Hallucination DetectionLarge Language ModelsSemantic ConsistencyNatural Language Processing
Detection F1
0.89
Models Evaluated
5 LLMs
Benchmarks
3 Datasets
Improvement
+12% F1