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Makassar, Indonesia

Geographic Information System Developer

Geographic Information System Developer

Cover image for Real Estate GIS Development.

Real Estate GIS Development.

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5

Cover image for Road Developing Management

Road Developing Management

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Cover image for Disaster Information Management System (DIMS)

Disaster Information Management System (DIMS)

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Cover image for Vessel Tracking System

Vessel Tracking System

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9

Dubai - United Arab Emirates

Building the Future with Vertical AI Agents & Full-Stack Dev

5.0: Rating

17: Followers

Building the Future with Vertical AI Agents & Full-Stack Dev

Cover image for Urbanease | Full Stack

Urbanease | Full Stack

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Cover image for 🚀𝟰–𝟲 𝗛𝗼𝘂𝗿𝘀 𝘁𝗼 𝟯 𝗠𝗶𝗻𝘂𝘁𝗲𝘀: 𝗛𝗼𝘄 𝗔𝗜 𝗜𝘀 ...

🚀𝟰–𝟲 𝗛𝗼𝘂𝗿𝘀 𝘁𝗼 𝟯 𝗠𝗶𝗻𝘂𝘁𝗲𝘀: 𝗛𝗼𝘄 𝗔𝗜 𝗜𝘀 𝗥𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 I helped a real estate brokerage 𝗰𝘂𝘁 𝗽𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗶𝗺𝗲 𝗳𝗿𝗼𝗺 𝟰–𝟲 𝗵𝗼𝘂𝗿𝘀 𝘁𝗼 𝗷𝘂𝘀𝘁 𝟯 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. 𝗧𝗵𝗲 𝘀𝗲𝗰𝗿𝗲𝘁? AI that actually understands what buyers want. 𝗕𝗲𝗳𝗼𝗿𝗲: • Agents manually searched 2,000+ listings • MLS matched keywords, not intent • Clients left for faster competitors 𝗔𝗳𝘁𝗲𝗿: • Buyers describe what they want in plain English • AI asks smart follow-up questions • Matches are ranked by fit, with clear explanations 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝗻 𝟵𝟬 𝗱𝗮𝘆𝘀: 📈 Match acceptance: 𝟮𝟯% → 𝟲𝟳% ⚡ Agent capacity: 𝟯× 𝗺𝗼𝗿𝗲 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 ⭐ Satisfaction scores: +𝟰𝟮% Agents aren’t being replaced. They’re finally doing what they’re best at!

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Cover image for Ternoa Wallet | React Native Dapps

Ternoa Wallet | React Native Dapps

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Cover image for Bolt TV | React.js

Bolt TV | React.js

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Htet Htet Lynn Naing

Toronto, Canada

I design intuitive digital product experiences

8: Followers

I design intuitive digital product experiences

Cover image for My 2nd submission is here! I built a real-time noise-visuali...

My 2nd submission is here! I built a real-time noise-visualizing map called "NoisePulse" that turns city sounds into glowing, intuitive patterns with no heavy backend but just public datasets and Tempo's intelligence. Features: - Search any area by address - Drag/pan across neighborhoods - See a glowing noise heatmap with intensity-based colors My whole process (including deployment) can be seen in my Linkedin post. And one heart = one support, thanks a lot! Demo: here (https://tempo-deployment-55088d92-d27e-4411-azure.vercel.app/)Canvas: here (https://app.tempo.build/canvases/55088d92-d27e-4411-be31-f9f997d17902/editor)Social Post: here (https://www.linkedin.com/posts/hhlynnnaing_ai-vibecoding-vibedesigning-activity-7403244540444184576-VJHB)

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Cover image for Drop the Link (https://tempo-deployment-86898bca-77f6-49aa-b...

Drop the Link (https://tempo-deployment-86898bca-77f6-49aa-b103-f820792ccb3-9s3xct7wu.vercel.app/) is a visual link-saving canvas with an auto-tagging system. Ever save a webpage or online course “for later” and then completely lose it? I built a web app where every pasted URL becomes a draggable card on a clean, visual canvas. (Yes, Tempo did it amazing well!) You can organize links at a glance, search them quickly, and navigate with ease. The best part? It auto-tags itself as soon as you drop a link, making it simple to find related categories later. Plus, it comes with light/dark mode, zoom controls, and super smooth drag-to-reorganize interactions, because being organized should feel fun, not like homework. If you try it and enjoy the idea, a little heart would mean a lot!

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Cover image for Raining Scene Project

Raining Scene Project

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Cover image for About me

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TULASI KRISHNAKUMAR

Secunderabad, India

FULL STACK WEB DEVELOPER AND DESIGNER

New to Contra

FULL STACK WEB DEVELOPER AND DESIGNER

Cover image for Designed and built a consent-first

Designed and built a consent-first GPS tracking ecosystem featuring a React Native mobile app, a Node.js backend, and a real-time web dashboard. Implemented robust background location services with a permanent Android notification bar to comply with privacy laws. Integrated an offline queue using AsyncStorage that buffers up to 2,000 coordinates during connection drops and auto-syncs via batch uploads once restored. Fingerprinted devices with stable hardware-linked IDs and displayed active paths and accuracy zones on a dark-themed Leaflet.js dashboard map.

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Cover image for Created an automated reconnaissance and

Created an automated reconnaissance and asset discovery engine that integrates offensive utilities with AI-driven threat triage. Built a FastAPI backend backed by Celery and Redis to execute heavy subdomain discovery (subfinder), port scanning (httpx), and web crawling (katana) concurrently. Configured a PostgreSQL ledger to store asset records and integrated OpenAI/Ollama APIs to parse raw logs, filter out false positives, and suggest potential exploit targets. Exposes a clean REST API for configuring targets and viewing crawled subdomains.

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Cover image for Developed an educational cybersecurity platform

Developed an educational cybersecurity platform and live network simulation dashboard. Engineered a FastAPI (Python) backend to safely model network attack vectors including DDoS floods, dictionary brute-forcing, and phishing intercept points. Built a responsive React + TailwindCSS dashboard displaying live packet rates, network latency spikes, and vulnerability scoring via WebSockets. Integrated automated reporting modules enabling administrators to instantly export structured incident details into printable PDF audits and Excel spreadsheets.

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Cover image for Designed and developed a highly

Designed and developed a highly interactive, futuristic corporate portal for a cybersecurity firm using React, Vite, and Tailwind CSS. Implemented a 10-years-ahead dark-mode design with smooth animations powered by Framer Motion and custom particle networks via tsparticles. Structured the app using React Router DOM and optimized SEO indexing with dynamic metadata headers via React Helmet Async. Showcases core compliance matrices, interactive service grids (Red Teaming, Blue Teaming, GRC), and product catalogs at a fluid 60 FPS.

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Richard Donohue

Geospatial Data Scientist, Web Cartographer, and GIS Expert

Geospatial Data Scientist, Web Cartographer, and GIS Expert

Cover image for Water Watcher: Freshwater Health Explorer

Water Watcher: Freshwater Health Explorer

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Cover image for Geomockery: AI-Powered Geospatial Data Generator

Geomockery: AI-Powered Geospatial Data Generator

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Cover image for FLOWFINDER: Watershed Delineation Research & Benchmark Framework

FLOWFINDER: Watershed Delineation Research & Benchmark Framework

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Cover image for County Health Explorer: Full-Stack Spatial Data Science App

County Health Explorer: Full-Stack Spatial Data Science App

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Vishakha Sanjay Yadav

New Delhi, India

CSE student building ML pipelines & AI-powered products

New to Contra

CSE student building ML pipelines & AI-powered products

Cover image for ReGenX - Smart Circular Bio-Waste Logistics Platform

ReGenX - Smart Circular Bio-Waste Logistics Platform

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Cover image for What It Is
SevaFlow is a

What It Is SevaFlow is a civic complaint management system that lets Indian citizens file government complaints through Telegram without downloading any app or creating an account. The complaint gets automatically understood, routed, and tracked using AI. How It Works End to End A citizen sends a plain text message to the Telegram bot describing their problem. That message gets sent to Google Gemini with a carefully designed prompt at temperature 0.1, meaning the AI outputs consistent, deterministic JSON every time. Gemini extracts the issue type, location, responsible department, priority level, and generates a summary, all returning a confidence score between 0 and 1. The routing engine then takes over. It applies priority override rules first, so words like "fire" or "emergency" always trigger urgent regardless of what the AI said. It maps the AI suggestion to a configured department, assigns an SLA deadline based on department and priority, and stores everything in SQLite. The citizen immediately receives a Telegram confirmation with their reference ID like SF1234, department name, priority, and expected response time. The Admin Side Government officials log into a dashboard at the FastAPI server. They can filter and sort complaints, view the full status history of each one showing who changed what and when, update the status with notes like "team dispatched", and trigger a Telegram notification back to the citizen automatically. What Makes It Technically Interesting The AI pipeline has a two layer fallback. If Gemini fails, keyword matching kicks in to identify the department. If that also fails, it routes to General Services with medium priority and confidence marked as 0.0 so admins know it needs manual review. Nothing gets lost. The department configuration is fully data driven. Adding a new government department requires zero code changes, just a new entry in config.py (http://config.py) with keywords, SLA hours, and contact email. The system picks it up on restart. The database tracks two separate tables: complaints with all AI output stored alongside the raw text, and status history with a complete changelog including timestamps and the identity of who made each change. Why It Won Most hackathon civic tech projects build a web form. SevaFlow used Telegram as the interface because that is where citizens already are, made the AI classification reliable enough to actually route correctly, and built the full government side too, not just the submission side. End to end in one system, deployable on a single lightweight server.

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Cover image for UniEvent - University Event Management Platform

UniEvent - University Event Management Platform

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Cover image for Verath: AI-Powered Personal Memory System

Verath: AI-Powered Personal Memory System

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Building a better tomorrow, one product at a time

Building a better tomorrow, one product at a time

Cover image for RouteLab Observer • Transit Data Collection in the 21st Century

RouteLab Observer • Transit Data Collection in the 21st Century

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Cover image for Dexi • Your new dental assistant

Dexi • Your new dental assistant

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Cover image for R&D @ Transport for Cairo

R&D @ Transport for Cairo

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PADMANAVA PARUI

Bengaluru, India

Full-Stack Dev | React, Node & FastAPI | Fixing bugs fast.

New to Contra

Full-Stack Dev | React, Node & FastAPI | Fixing bugs fast.

Cover image for Economic Intelligence Dashboard: Predictive Modeling

Economic Intelligence Dashboard: Predictive Modeling & Real-Time Visualization: Architected a high-fidelity full-stack platform designed to aggregate and visualize macroeconomic indicators from the World Bank Open Data API. This project combines live data orchestration with machine learning to provide predictive insights into global GDP, inflation, and labor trends. Technical Deep-Dive: Data Pipeline: Engineered a Python/Flask backend to normalize and serve real-time macroeconomic data, ensuring consistent data structures across diverse international sources. Predictive Analytics: Implemented a regression-based forecasting tool that utilizes historical time-series data to project future GDP growth with interactive user-input variables. Geospatial & Statistical UI: Developed a responsive frontend using React and Leaflet.js, featuring dynamic map hotspots and complex statistical overlays using Plotly. Insight-Driven Design: Optimized the platform for data storytelling, allowing users to reveal hidden correlations between variables like inflation and unemployment through interactive scatter plots.

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Cover image for Enterprise News Aggregator: Clean Architecture

Enterprise News Aggregator: Clean Architecture & State Orchestration: Architected a production-ready news aggregation platform using Flutter and Dart, centered on strict Clean Architecture principles and the MVVM pattern. This project serves as a blueprint for scalable, decoupled application design, featuring an event-driven state management system (BLoC). Technical Deep-Dive: State Orchestration: Leveraged the BLoC pattern to handle complex UI states, ensuring a strictly reactive and predictable data flow. Scalable Architecture: Implemented a decoupled Data Layer with the Repository Pattern, allowing for seamless swapping of data sources (e.g., GNews, NewsData) without affecting business logic. Advanced Networking: Engineered a robust networking layer using Dio, featuring custom interceptors for error logging and automated retry logic. Optimized UX: Developed a "Smart Search" functionality with debouncing to minimize API overhead and improve client-side performance.

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Cover image for Autonomous Task Orchestration & Power

Autonomous Task Orchestration & Power Grid Simulation Engine:

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Cover image for B2B (Bike Sharing) Demand Forecasting

B2B (Bike Sharing) Demand Forecasting & Seasonality Engine

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