B.Tech CSE | SIH24 finalist | Web dev  
First-year at Heritage Institute of Technology.

github

Yogesh Kumar  • Peerlist

Tired of weather apps that just give you numbers? Same here.That's why I built a WeatherApp that's anything but boring! 🚀 It's your new personal AI guide, telling you exactly what to do, eat, or where to go, all based on your current local weather. Think less data, more "what's next?"If you're into smart, personalized solutions that actually make your day easier, give this a share!Feedback always welcome! Let me know what you think! 👇

GetWeatherAI

📩 Email is boring. So I used AI to fix it. 😎 💡 Built AlchEmaiLyst — a smart email dashboard that helps you: -- Summarize long email threads -- Generate &amp; send quick replies -- Detect spam (no more “You’ve won iPhone” scams) -- All wrapped in a beautiful UI ✨ Built with: – React + Vite – Alchemyst AI APIs – Gemini API (as backup) – Tailwind + ShadCN UI – Google OAuth

AI Email Agent

After building so many projects I finally use all the web dev and AI integration knowledge to make my own Portfolio. Here all the projects, skills and information are compiled at one place and are continuously updated. The project has some unique features other than being just a simple portfolio website which include : 1. AI integrated Chatbot with memory context and Persona 2. Three.js rendered cat and fish with animations and motion for UXThese features not only makes the project unique but also aligns it to current AI trends with a pinch of creativity. Visit my github to clone and make a own version for yourslef. Feedback appreciated !

AI cat-fishing Portfolio

AgroDX - Plant Disease Detection SystemProject OverviewAgroDX is an innovative agricultural disease detection platform empowering farmers with accessible AI-powered tools. Our solution identifies plant diseases through both image analysis and natural language processing, with robust offline functionality for areas with limited connectivity.Problem StatementAgriculture faces significant challenges from plant diseases, reducing crop yields by up to 40%. Traditional identification relies on expert knowledge often inaccessible to small-scale farmers. AgroDX democratizes disease detection technology for all farmers regardless of technical expertise or internet availability.Solution FeaturesDual-Mode Disease Detection- Image-based Detection: Upload photos for instant AI analysis- Text-based Detection: Describe symptoms in natural language for intelligent diagnosis- Offline Capability: Full functionality without internet using client-side inferenceSmart Field Management- Field Mapping: Monitor multiple fields with precise location tracking- Drone Integration: Automated aerial imaging for data collection in large fields- Health Analytics: Automated field health assessment with risk alerts- Treatment Recommendations: AI-generated treatment and prevention strategiesEnvironmental Monitoring- WSN Sensors Integration: Support for temperature, humidity, and soil moisture sensors- Weather Analytics: Real-time weather data for contextual insights- Disease Heatmaps: Geospatial visualization of disease occurrences across fieldsUser-Focused Design- Intuitive Interface: Farmer-friendly design requiring minimal technical knowledge- Responsive Design: Works seamlessly across desktop and mobile devices- Optional Account System: Save history and field data with secure authenticationTechnical Innovation- Voice-to-Text Feature: Speech recognition for hands-free symptom input- Multi-lingual Support: Interface and disease information in multiple languages- Offline Compatibility: Complete functionality without internet connectivityCustom AI &amp; Machine Learning- Self-trained CNN Model: Developed using reinforcement learning techniques- Custom Dataset: Collected 5,000 curated images covering various plant diseases- Support for 38 Plant/Disease Combinations: Comprehensive coverage of common agricultural diseases- Natural Language Processing: For text-based symptom analysisImpact &amp; ScalabilityAgroDX provides transformative benefits across diverse agricultural contexts:- Economic Impact: Reduces crop losses by up to 40%, directly improving farmer income and livelihoods- Food Security Enhancement: Early disease detection helps secure food production for growing populations- Knowledge Democratization: Makes expert-level plant pathology accessible to farmers of all education levels- Cross-regional Adaptability: Functional across different agricultural regions with offline capabilities- Adoption Pathway: Intuitive design facilitates rapid uptake even in technology-resistant communities- Cost Effectiveness: Eliminates need for expensive laboratory testing or specialist consultation- Scalable Infrastructure: Architecture supports expansion to additional crops and diseases without redesignFuture Development Roadmap- Mobile Application: Dedicated field data collection app with expanded offline capabilities- Predictive Analytics: AI-driven disease forecasting based on environmental conditions- Advanced WSN Sensors: Enhanced integration with wireless sensor networks for real-time monitoring- Expanded Disease Database: Support for additional crop varieties and regional-specific diseasesAgroDX empowers farmers with essential tools to protect their crops and livelihoods, contributing to global food security and sustainable agriculture.

AgroDx

Ever visit a government site and got frustated due to the UI ? Ofcourse ! We all know that government sites have all the data but they have a hard time visualizing it. ClimaVisor comes here to offer an immersive experience of 3D visualization and prediction of climatic data so that there is no gap between scientific researches and public knowledge. We aim to have an impact on the growing concern of climate change. Our product is still under development and here are the things you should keep in mind while deploying it : Explore the Features:<ul><li>You can click buttons, search for locations, and try out other features. (Note: some things are still a work in progress.)</li></ul><ul><li>Maps:<ul><li>Some maps might not load locations properly due to incorrect textures. Just check out the initial map (which has label Earth) for accurate info.</li></ul></li><li>Time Feature:<ul><li>The time feature is still being worked on since there aren’t future maps available yet.</li></ul></li><li>Analytics Box:<ul><li>The analytics box is under development and will show static, possibly incorrect data for now.</li></ul></li><li>Dashboard:<ul><li>Click the ClimaVisor header (-ClimaVisor-) to go to the Dashboard page.</li></ul></li><li>Impact Calculator:<ul><li>There’s an Impact Calculator at the bottom where you can check CO₂ savings.</li></ul></li><li>Reports Page:<ul><li>The sidebar on the Reports page allows you to select countries and see their weekly data and climate predictions.</li><li>You can also use the sidebar for navigation. </li></ul></li></ul>

Yogesh Kumar

B.Tech CSE | SIH24 finalist | Web dev First-year at Heritage Institute of Technology.