JUNAID Mohi Ud Din
AI Automation & Full-Stack Developer | Computer Vision • NLP
New to Contra
JUNAID is ready for their next project!
NexusAI — Enterprise Agentic Assistant
NexusAI is a production-ready enterprise agentic conversational platform that revolutionizes e-commerce through intelligent intent classification and semantic product search. Built with LangGraph, FastAPI, and Next.js 15, this AI assistant utilizes advanced RAG pipelines and Supabase pgvector to deliver highly personalized, context-aware recommendations in real-time. By leveraging Groq's LPU for sub-second LLM inference and FlashRank for cross-encoder analysis, the system ensures unparalleled accuracy and speed. This project highlights my advanced proficiency in LLM orchestration, vector databases, and real-time frontend integration via Server-Sent Events.
1
30
Smart Farming Advisor — Agentic AI
The Smart Farming Advisor is an end-to-end agentic AI system that empowers the agriculture sector with data-driven crop recommendations and accurate plant disease detection. Utilizing an intelligent agentic routing system for autonomous intent classification, the platform seamlessly integrates computer vision models (ResNet50) and machine learning classifiers (Random Forest). It features a comprehensive RAG pipeline with semantic search for farming Q&A, bridging a Next.js 14 frontend with a Flask REST API backend. This project emphasizes my ability to orchestrate multi-tool AI assistants and deliver high-impact predictive modeling solutions.
0
22
VisiHealth AI – Explainable Medical VQA
VisiHealth AI is a multimodal, explainable Medical Visual Question Answering system designed to analyze complex clinical radiology scans. Utilizing PyTorch, ResNet-50, and BioLinkBERT, the platform fuses text and spatial image patches through a real multi-token cross-attention mechanism to provide accurate clinical insights. It builds diagnostic trust through explainable AI by overlaying attention-map heatmaps on original scans and deriving human-readable rationales from a 4,444-triplet medical knowledge graph. Delivered via a scalable Next.js and Flask architecture, it demonstrates my capability in deep learning and healthcare AI integrations
0
23
CrawlX – Full-Stack Data Aggregation & Scraping Portal
0
24