Sameer Banchhor

DURG-EduAI is a large-scale machine learning framework designed for academic risk analysis, trained on 248,539 student examination records spanning 2016 to 2025 at Hemchand Yadav University, Durg. The system delivers five simultaneous predictions per student: 1. SGPA Regression 2. Pass/Fail/ATKT Classification 3. Dropout Risk Detection 4. Subject-Level Benchmarking 5. Early Warning Alerts Findings were presented to university leadership; models and datasets were prepared for open platform publication.

One of the first TTS systems built for Chhattisgarhi, a low-resource language spoken by over 18 million people in Central India. Key Highlights: - Trained a VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) deep neural network. - Addressed core low-resource challenges: limited training data, dialect variation, and tonal pronunciation. - Designed a complete pipeline from Devanagari text normalization to audio waveform generation.

A chatbot fine-tuned on a custom Chhattisgarhi corpus to support local farming communities with queries on seeds, tools, and agricultural practices. Key Highlights: - Fine-tuned Google Gemini API on regional dialects and colloquial speech patterns. - Deployed in a real-world rural setting in Kanker, Chhattisgarh with direct feedback loops from farmer groups. - Recognized and compensated by local government for community technological impact.