Freelancers using React Native in Dadri
Freelancers using React Native in Dadri
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Satya Prakash
pro
New Delhi, India
Mobile App Architect • React Native Expert • 50+ App Shipped
$1k+
Earned
1x
Hired
5.0
Rating
14
Followers
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Mobile App Architect • React Native Expert • 50+ App Shipped
1
Stellar Baby Mobile App
1
2
1
GymCare Management System Development
1
13
1
Stellar Baby Mobile Application
1
36
1
Rizz AI: Image Generation App Development
1
10
React Native
(15)
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Rahul Kasana
Delhi, India
Senior FullStack Developer
5.0
Rating
7
Followers
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Senior FullStack Developer
0
Saathi React Native App
0
6
0
Pulse Mobile App
0
7
0
Saarathi App
0
14
0
Kisi Web App
0
13
React Native
(3)
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Jagwinder Singh
Delhi, India
Full Stack Developer
7
Followers
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Full Stack Developer
1
AI Smart Call Assistance App Modern users struggle with spam calls, missed context, and inefficient call handling. We designed an AI-powered Smart Call Assistance experience inspired by intelligent call management systems like Hiya AI Phone, focusing on real-time call screening, transcription, and AI summaries to improve communication efficiency. Problem Statement (Users face): -- High volume of spam and unknown calls -- Lack of context during calls -- Difficulty remembering key points from conversations -- Inefficient call handling in professional workflows Solution: We designed a smart AI call assistant that helps users: > Identify and filter spam calls in real time > Generate automatic call transcripts > Provide AI-powered call summaries after every conversation > Highlight key action points and follow-ups Key Features 1. AI Call Screening: Detects spam and unknown callers instantly 2. Live Transcription: Converts speech to text during calls 3. Smart Summaries: Auto-generated call insights & decisions 4. Call Insights Dashboard: Stores past call history with searchable notes 5. Privacy-Focused Design: On-device processing and secure data handling UX focused Approach on: - Minimal interaction during calls (hands-free experience) - Clear visual hierarchy for call insights - Fast access to summaries post-call - Reducing cognitive load through automation Outcome: The concept demonstrates how AI can transform traditional calling into a productivity-first communication tool, reducing spam interference and improving decision-making speed.Or rewrite it in a more premium startup pitch tone
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1
92
0
AI Health and Wellness Tracker App
0
126
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On-demand Doctor Booking App
0
3
0
Comprehensive Mobile App Development Projects
0
5
React Native
(5)
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Nitesh Agarwal
Delhi, India
I craft modern digital experiences with design-driven code.
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I craft modern digital experiences with design-driven code.
0
Project Title: Tastify - Spotify for Recipes Description: "What if finding dinner was as easy as finding a song?" I designed Tastify to answer that question. It is a modern recipe discovery platform that borrows the intuitive UX patterns of music streaming apps to make cooking accessible Familiar Interface: Adapted the horizontal scrolling and category browsing patterns users already love. Rich Media Integration: Integrated the YouTube API for seamless in-app video tutorials. Smart Search: Built a responsive search system that filters by ingredients and recipe names instantly. Micro-interactions: Focused on fluid transitions and animations to create a premium "native" feel. Tech Stack: React Native, Expo, TypeScript, Figma.
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31
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I developed a next-generation dental appointment platform featuring a real-time conversational AI assistant. "AIvory" helps patients discover dentists and manage their dental health using voice commands. Voice AI Integration: Integrated Vapi AI to create "Riley," a conversational assistant capable of answering dental queries and guiding users. Location Intelligence: Built a discovery engine using OpenStreetMap and Leaflet.js to find real dentists within a 10km radius. Smart Scheduling: Engineered a 3-step booking flow with automated calendar integration (.ics generation) and Resend API email confirmations. Secure Infrastructure: Implemented Clerk for multi-factor authentication and role-based access control (Admin vs. User). Tech Stack: Next.js 15, Vapi AI, Prisma, PostgreSQL (Neon), Tailwind CSS 4.
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Project Title: Interactive 3D Web Experience Description: I built this interactive portfolio to challenge standard web navigation patterns. By combining the power of Next.js with the visual capabilities of Three.js, I created a "gamified" browsing experience that encourages exploration. WebGL Integration: Advanced manipulation of 3D scenes within a React context. Creative UI/UX: Implementation of non-linear navigation and thematic dark mode. Performance: High-speed page transitions and optimized asset delivery. Tech Stack: Three.js, Next.js, Framer Motion.
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Modern Video Streaming Interface :- A comprehensive recreation of the Netflix web application, focusing on fluid user interactions and pixel-perfect design implementation. This project serves as a study in modern UI patterns and component composition Dynamic Portals: Created robust modal overlays for content details using React Portals to ensure proper stacking contexts. Cinematic Motion: Integrated Framer Motion to drive smooth, physics-based transitions for hover states and page navigation. Custom Video Engine: Developed a bespoke video player interface with custom controls and overlay logic using Video.js. Real-Time Data: Integrated the TMDB API to provide live search functionality and dynamic content categorization. Tech Stack: React, Material-UI, TMDB API, TypeScript.
0
27
React Native
(1)
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Vishakha Sanjay Yadav
New Delhi, India
CSE student building ML pipelines & AI-powered products
New to Contra
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CSE student building ML pipelines & AI-powered products
0
UniEvent - University Event Management Platform
0
1
0
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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23
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Verath: AI-Powered Personal Memory System
0
0
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ReGenX - Smart Circular Bio-Waste Logistics Platform
0
0
React Native
(1)
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Kavin Sharma
Dadri, India
Expert & Passionate Fullstack Engineer 8+ Years Experience
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Expert & Passionate Fullstack Engineer 8+ Years Experience
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Hospital Management System
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26
0
E-Commerce Platform Development
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10
0
Lambdax.ai
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17
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HR Job recruitment Web Applications
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14
React Native
(2)
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Kunal Kumar
Delhi, India
Full-Stack Developer Building Scalable Web, Mobile
New to Contra
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Full-Stack Developer Building Scalable Web, Mobile
0
Government Exam Mock Test App – Scalable Mobile Platform for Competitive Exams I developed a complete subscription-based mobile platform for Indian government exam preparation (SSC, Banking, Railways, UPSC, etc.). This cross-platform app helps students take realistic timed mock tests with instant results and detailed performance analytics. Key Features Delivered: • Full mobile app (Android + iOS) with smooth offline support • Real-time timed mock tests with question banks • Secure subscription system and payment integration • Admin dashboard for managing exams, users, and content • High-concurrency handling for thousands of simultaneous test-takers • Detailed performance analytics and progress tracking Built as a robust, scalable solution using modern cross-platform technologies. The platform supports multiple subscription tiers and delivers a seamless experience even during peak exam seasons. This project showcases my ability to build production-grade mobile applications, backend systems, payment integrations, and admin panels that handle real user load. Perfect for edtech startups and coaching institutes preparing students for competitive government exams in India.
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11
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Offline AI Audio Transcriber – Local LLM-Powered Speech-to-Text Tool I built a fully offline, privacy-first AI Audio Transcriber for clients who handle sensitive audio data. This desktop application converts audio recordings into accurate, structured PDF reports without sending any data to the cloud. Key Features: • Runs 100% locally on user hardware (no internet required) • Uses multiple local LLMs and speech-to-text models for high accuracy (96%+) • Automatically generates well-formatted PDF reports with timestamps and summaries • Strong focus on data privacy and security • Supports multiple audio formats Built with Python, leveraging local AI models to ensure complete confidentiality — perfect for professionals, researchers, lawyers, and businesses dealing with confidential recordings. This project demonstrates my skills in Python desktop application development, AI/ML integration, local LLM deployment, and creating secure, high-performance tools. Ideal for users who need powerful AI capabilities without compromising privacy.
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15
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Retail & Kirana Management System – Offline-First POS & Inventory Software I developed a complete locally-hosted, offline-first Retail & Kirana Management System designed specifically for small shop owners and kirana stores in India. This full-source-code product includes: • Fast & reliable Point of Sale (POS) billing • Real-time inventory and stock management • Employee shift management • Detailed sales, profit & stock analytics • Complete offline support with seamless local PostgreSQL database Key highlights: Works perfectly without internet (ideal for areas with poor connectivity) Fast performance even on low-end hardware Easy to install and customize as it comes with full source code Built for Indian retail needs — supports GST billing, multiple users, and daily reporting This project showcases my ability to build robust desktop applications, handle local databases, create user-friendly interfaces, and deliver production-ready software that small businesses can actually use and resell. Tech used: Electron + PostgreSQL + Modern UI
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23
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FillFeedback – Affordable Typeform Alternative (SaaS Form Builder) I built and launched FillFeedback, a simple, affordable SaaS online form builder designed as a budget-friendly alternative to Typeform. It offers a generous free plan and paid plans at a fraction of the usual price, making professional forms accessible to everyone. Key features I developed include: Conversational, beautiful forms with browser-based video recording – respondents can record video answers directly in the form Support for file & document uploads in any format Powerful API integration to fetch and sync form data with your own systems Ready-to-use NPM package for seamless integration into any web project – no code editing required Easy Excel export, analytics, and real-time responses This project showcases my full-stack development skills in building a complete SaaS product from scratch – handling frontend UX, backend logic, video processing, API architecture, and package distribution. Live link: https://fillfeedback.com/
0
26
React Native
(1)
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N Ahmed
Delhi, India
Cross platform mobile app developer
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Cross platform mobile app developer
0
React Native Samples and Templates for Windows
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5
0
React Starter Kit for Firebase Development
0
7
0
React and React Native Starter Kit Development
0
4
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