krishna R

Persanoflux

An ai powered npc to for dialogue writers

BJT AI Pro

Most efficient tools for simulation and solving, understanding bjt and its related question helps for academic and research persons

DiabeticsAnalyst

DiabeticsAI Enterprise is an advanced machine learning platform designed for real-time diabetes risk prediction and health analytics. Built with Streamlit, it features a professional dark violet UI, smooth animations, and powerful ML models including Random Forest, XGBoost, and Neural Networks. Users can make instant predictions, train models, analyze data, and export insights with ease. It supports batch processing, model validation, interactive dashboards, and local data privacy. Ideal for healthcare professionals, data scientists, and researchers seeking actionable medical insights. Easily deployable locally, on Docker, or in the cloud with full enterprise-grade security and customization support.

HealTrack

HealTrack - Serverless Health & Symptom Tracker A comprehensive health tracking application built with serverless architecture using only free resources. Features 🏥 Symptom Tracking: Log and monitor health symptoms over time 📊 Visual Analytics: Charts and graphs to visualize health trends 💊 Medication Reminders: Track medication schedules 📱 Responsive Design: Works on desktop and mobile devices 🔐 Secure: JWT-based authentication ☁️ Serverless: Deployed on free hosting platforms Technology Stack Frontend Next.js 14 - React framework with SSR/SSG TypeScript - Type-safe development Tailwind CSS - Utility-first CSS framework Framer Motion - Smooth animations Chart.js - Data visualization Backend Serverless Functions - API routes with Next.js Local Storage - Client-side data persistence (can be upgraded to MongoDB Atlas) JWT Authentication - Secure user sessions Deployment Vercel - Free hosting for Next.js applications GitHub - Version control and CI/CD

SIGN LANG INTREPRETOR

A real-time sign language recognition system built with Python, MediaPipe, TensorFlow, and Streamlit. This application can detect and interpret sign language gestures in real-time using computer vision and machine learning.

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