Building AI-driven healthcare solutions with a focus on early Alzheimer's disease detection, explainable machine learning, and multimodal clinical AI.

• 🏆 AAIC 2026 Poster Presenter — Alzheimer's Association International Conference

• 🧠 Developed an AI/ML framework integrating Ayurvedic phenotyping and clinical data for early Alzheimer's risk detection

• 🌾 Built FarmFlow, an end-to-end machine learning pipeline for agricultural price prediction

• 💬 Developed multilingual Retrieval-Augmented Generation (RAG) systems for document question answering

• 🔬 Exploring Explainable AI (XAI), multimodal AI, and digital biomarkers for healthcare

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• 🧠 Early Detection of Alzheimer's Disease
• 🤖 Artificial Intelligence & Machine Learning
• 🩺 Healthcare AI & Clinical Decision Support Systems
• 🔍 Explainable AI (XAI) for Medical Decision Making
• 📊 Multimodal AI & Data Fusion
• 📡 Digital Biomarkers, Wearables & Neurotechnology

🏆 Presented at AAIC 2026 (Alzheimer's Association International Conference)

A two-stage AI/ML framework integrating Ayurvedic phenotyping with clinical and lifestyle features for early Alzheimer's disease risk assessment.

Tech Stack: Python • Scikit-learn • FastAPI • Machine Learning

🔗 Repository: https://github.com/Avgohil/fusion-care-alzheimer-ml

An end-to-end machine learning pipeline for crop price prediction using historical Agmarknet data with automated retraining and API deployment.

Tech Stack: Python • LightGBM • FastAPI • Pandas

🔗 Repository: https://github.com/Avgohil/Farm_Flow_price_prediction

A multilingual Retrieval-Augmented Generation (RAG) system for intelligent document question answering using semantic search and large language models.

Tech Stack: Python • FastAPI • FAISS • Sentence Transformers • FLAN-T5

🔗 Repository: https://github.com/Avgohil/Multilingual_Document_Q-A_System

Poster Presenter

Title:
A Two-stage AI/ML Framework Integrating Ayurvedic Phenotyping and Clinical Data for Early Alzheimer's Risk Detection

📍 Virtual Conference

🖼️ Conference Poster: View Poster

🔬 Research Areas:

• Healthcare AI
• Machine Learning
• Alzheimer's Disease
• Clinical Decision Support
• Explainable AI

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I'm always happy to connect with researchers, developers, and collaborators working at the intersection of AI and Healthcare.