🧑‍💻 Ravi Kumar Gunti

Full Stack Developer | AI/ML Engineer 🚀

📍 IIITDM Jabalpur | CSE (2023–2027) | CGPA: 8.3/10.0
💡 JEE Mains: 98.2 Percentile | 3 Production Apps | 1,600+ Users

"Building technology that solves real-world problems and creates meaningful impact."

Hey there! I'm Ravi Kumar Gunti, a passionate Full Stack Developer and AI/ML Engineer pursuing B.Tech in Computer Science at IIITDM Jabalpur with 8.3 CGPA.

I specialize in building scalable, production-ready applications that address real-world challenges — from AI-powered disaster management and agricultural intelligence platforms to meeting automation systems.

🎯 What Drives Me:
Creating technology that empowers communities, increases efficiency, and saves lives through intelligent solutions.

🏆 Key Achievements:

• 📱 Deployed 3 production applications serving diverse real-world use cases
• 🎓 Achieved JEE Mains 98.2 percentile (Top 1.8% among 1.2M+ candidates)
• 🔗 Integrated 8+ third-party APIs including Firebase, AssemblyAI, PlantNet, WeatherAPI, and more
• 🧠 Implemented AI/ML features with TensorFlow, AssemblyAI, and PlantNet for disease detection
• 🏗️ Built role-based access control systems across multiple projects with secure JWT authentication

• 🌐 Full Stack Development — React 19, Next.js 15/16, TypeScript, Node.js, Express
• 🧠 AI/ML Integration — TensorFlow, AssemblyAI, PlantNet API, Computer Vision
• ☁️ Cloud & Backend — Firebase, MongoDB Atlas, Vercel Serverless, REST APIs, WebSocket
• 🎨 Modern UI/UX — Tailwind CSS, Framer Motion, shadcn/ui, Radix UI
• 🔐 Security — JWT Authentication, bcrypt, OTP Verification, RBAC

Production-ready applications solving real-world problems with modern tech stacks.

Tech Stack: Next.js 15 React 18 TypeScript Firebase WebSocket TensorFlow Leaflet WeatherAPI OpenWeatherMap Vercel

Key Features:

• 🔴 Real-time WebSocket alerts supporting 1,000+ concurrent users with sub-200ms latency
• 🤖 AI prediction algorithm using TensorFlow with 87% accuracy analyzing 5+ years historical data
• 📡 Offline-first architecture enabling critical functionality during network failures
• 🗺️ 9-type SOS emergency system with GPS tracking, 3 priority levels, and image attachments
• 🌤️ Dual weather API system integrating WeatherAPI.com and OpenWeatherMap with intelligent fallback
• 📚 12 comprehensive disaster safety guides with video tutorials
• 👥 Admin Command Center with RBAC managing 50+ emergency responders (99.8% uptime)

Impact: Built to serve 10M+ disaster-affected people annually with geolocation-based smart routing reducing evacuation time by 35%.

Tech Stack: Next.js 16 React 19 TypeScript MongoDB Atlas PlantNet API Cloudinary Weather API agmarket.gov.in Nodemailer JWT bcrypt

Key Features:

• 🔬 AI plant disease detection integrating PlantNet API with MongoDB treatment database
• 🌱 Crop recommendation engine achieving 95%+ accuracy analyzing NPK, pH, temperature, humidity, soil parameters
• 👥 Multi-role ecosystem serving Farmers, Laborers, Employees, and Admins
• 🤝 AgroBridge workforce module with real-time notifications for labor coordination
• 💰 Government market data integration from agmarket.gov.in with multi-filter search
• 🚜 Machinery rental marketplace featuring 8+ equipment types with availability tracking
• 🔐 OTP-based email verification with JWT/bcrypt security and HTTP-only cookies

Impact: Comprehensive platform addressing agricultural labor shortage with disease detection, crop recommendations, and market intelligence.

Tech Stack: React 19 TypeScript Tailwind CSS 4 Firebase AssemblyAI Cloudinary Vercel Serverless JWT Webhook

Key Features:

• 🎤 AI-powered transcription using AssemblyAI with automatic speaker diarization
• 🎭 Multi-format upload supporting MP3, WAV, M4A, MP4, MOV, WebM
• 👤 Speaker-to-employee mapping interface for accurate task assignment
• 🎚️ 9 serverless API endpoints handling auth, webhooks, and task management
• 📊 Dual-role system with Manager and Employee dashboards (RBAC)
• ⚡ Real-time Firestore sync handling 1,000+ daily API requests
• 💾 Google Drive integration for task submission with link validation
• 🔄 Webhook-based async processing for long-running transcription jobs

Impact: Transforming meeting recordings into actionable tasks, reducing manual documentation time for productivity teams.

Tech Stack: HTML5 CSS3 JavaScript OpenWeather API

Modern, minimal real-time weather app with UV index, sunrise/sunset times, and smart visual indicators.

Tech Stack: Next.js TypeScript React Machine Learning Render TailwindCSS

An AI-driven agriculture assistant that analyzes soil and environmental parameters to deliver personalized:

• 🌾 Crop recommendations
• 🌿 Fertilizer suggestions

Built with real-world ML models for data-driven farming decisions, featuring a responsive UI and real-time predictions.

Tech Stack: Python OpenCV Mediapipe

Real-time driver fatigue detection using eye tracking with alarm alerts. Modular and lightweight implementation.

Tech Stack: TensorFlow Keras OpenCV NumPy

Deep learning CNN model trained on real-world datasets for accurate drowsy state detection and prevention.

💻 Languages:       JavaScript | TypeScript | Python | Java | C/C++ | HTML5 | CSS3 | SQL

🎨 Frontend:        React 19 | Next.js 15/16 | Tailwind CSS | Framer Motion
                    shadcn/ui | Radix UI | Responsive Design

⚙️ Backend:         Node.js | Express.js | REST APIs | WebSocket
                    Vercel Serverless | JWT Authentication

🗄 Databases:       MongoDB Atlas | Firebase Firestore | MySQL | Redis | Cloudinary

🧠 AI/ML & APIs:    TensorFlow | AssemblyAI | PlantNet API | OpenCV
                    WeatherAPI | OpenWeatherMap | Google Maps API | Leaflet

☁️ DevOps & Tools:  Git | GitHub | Docker | Vercel | AWS | Postman
                    ESLint | Zod Validation | Nodemailer

🔐 Security:        bcrypt | JWT | HTTP-only Cookies | OTP Verification | RBAC

• 🚀 Enhancing SAVIOUR with advanced AI prediction models
• 🌾 Expanding FarmEase with real-time crop health monitoring
• 🎤 Optimizing MeetTask AI transcription accuracy and speed
• ☁️ Exploring AWS cloud infrastructure and microservices architecture
• 🧠 Deep diving into advanced machine learning and computer vision
• 💻 Contributing to open source and building developer tools

Coursework: Data Structures & Algorithms, DBMS, Operating Systems, Software Engineering, Computer Networks

September 2024 – Present

• 🏗️ Developing college-wide web platform serving 2,500+ students and 200+ faculty
• ⚡ Building RESTful APIs and microservices using Node.js/Express, reducing response time by 40%
• 📱 Implementing responsive React.js components achieving 95+ Lighthouse performance score
• 🔥 Managing Firebase Authentication and Firestore with real-time sync across 15+ modules and 3,000+ users
• ✅ Conducting code reviews and implementing unit testing with 85%+ code coverage, following Agile methodology

"Technology is best when it brings people together and solves real problems." 💙