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Vinay Shankar Dubey's avatar
Vinay Shankar Dubey
proNoida, India
Flutter Pro Delivering Top-Notch App Solutions
1x
Hired
4.8
Rating
35
Followers
Flutter Pro Delivering Top-Notch App Solutions
Cover image for Framer Landing Page for Aman International Hotel
Framer Landing Page for Aman International Hotel
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9
Cover image for Omi : Fully Opensource AI Companion App
Omi : Fully Opensource AI Companion App
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40
Cover image for Development of Share Stake Mobile App
Development of Share Stake Mobile App
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16
Cover image for Revv – Native to Flutter Migration for Revv Mobile App
Revv – Native to Flutter Migration for Revv Mobile App
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39
GitHub(2)
Jagwinder Singh's avatar
Jagwinder Singh
Delhi, India
Full Stack Developer
7
Followers
Full Stack Developer
Cover image for Comprehensive Mobile App Development Projects
Comprehensive Mobile App Development Projects
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5
Cover image for AI Agent Tutor Mobile App An
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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Cover image for Employee Productivity Monitoring System Built a
Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.
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Cover image for AI Resume Screening | Candidate
AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
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115
GitHub(1)
Lalit Shakya's avatar
Lalit Shakya
Gurugram, India
Full-Stack Developer & UI/UX Designer | React, PHP
New to Contra
Full-Stack Developer & UI/UX Designer | React, PHP
Cover image for Full-stack Business Platform: Seamless Deployment with Biziffy
Just shipped a full-stack business listing platform — Biziffy. Built with React/Next.js on the frontend and Node.js/Express on the backend, deployed on a Hostinger VPS (Ubuntu 24.04) with PM2 and Nginx. Key things I handled on this one: Google Location API integration for accurate business listings, pincode validation, sitemap and robots.txt setup for SEO, and complete VPS deployment from scratch via SSH. The part I enjoyed most — getting the deployment pipeline clean so the client could manage updates without developer dependency. Stack: React · Next.js · Node.js · Express · MongoDB · PM2 · Nginx · VPS Live: biziffy.com (http://biziffy.com)
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Cover image for AI Viral Story & Cinematic
AI Viral Story & Cinematic Shorts Factory AI Viral Story & Cinematic Shorts Factory is a futuristic AI-powered storytelling workflow built entirely inside Melius. The project explores how AI can transform a single emotional idea into a complete viral-ready cinematic production pipeline for platforms like YouTube Shorts, TikTok, Instagram Reels, and Pinterest Video Pins. Using interconnected AI agents and advanced visual workflow nodes, the system handles: Trend research and viral analysis Emotional story generation Cinematic scene breakdowns AI image prompting AI animation direction Camera movement planning Voiceover scripting Music and sound design Thumbnail optimization Captions and hashtag generation Engagement prediction Multi-platform export workflows For the core demonstration, I created a 6-scene emotional rescue story following an abandoned puppy in the rain. The workflow visually demonstrates how a raw emotional concept evolves into a fully cinematic short-form narrative through interconnected AI systems. The project was designed to feel like a next-generation AI filmmaking operating system — combining storytelling psychology, prompt engineering, cinematography logic, emotional optimization, and creator workflow automation into one connected visual canvas. My goal was to explore the future of AI-native filmmaking and demonstrate how creators can generate production-ready emotional content in minutes instead of weeks. Process: Researched emotional viral storytelling formats Designed a multi-agent cinematic workflow architecture Built interconnected AI production nodes inside Melius Generated a full 6-scene cinematic narrative Created image and animation prompt systems Added voiceover, music, and sound design logic Built thumbnail, caption, and engagement optimization systems Produced a cinematic walkthrough showcasing the workflow Feedback on Melius: Using Melius felt like directing an AI-powered creative studio visually instead of switching between disconnected tools. The node-based workflow made it easier to structure cinematic storytelling pipelines, iterate on ideas, and connect production systems together in a much more intuitive way. LinkedIn Post: https://www.linkedin.com/posts/buildwithlalit_meliuschallenge-ugcPost-7462439292988968960-xnV2
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Cover image for PayU Latam Payment Gateway Integrate
PayU Latam Payment Gateway Integrate Developed a complete PayU Latam payment gateway integration for Walon Sport (Peru), enabling users to complete transactions directly within the website without any redirection. The project included implementing multiple payment methods such as Credit/Debit Cards (Visa, Mastercard, Amex, Diners), Yape (mobile payment flow), and PagoEfectivo (CIP generation). A custom accordion-style checkout UI was built to improve user experience and guide users through payment selection. Additionally, a fully customized Thank You page was developed to display CIP codes and provide voucher access for offline payments. The integration was deployed in a production environment with AWS security layers (WAF), ensuring stable and secure payment processing. This project involved real-world API handling, debugging payment flows, and optimizing checkout UX for better performance and reliability. Skills Debugging , Web development , Payment Gateway Integration , API integration , Backend Development , Frontend Development
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Cover image for Prydelix — Full-Stack E-Commerce &
Prydelix — Full-Stack E-Commerce & IT Support SaaS Platform. Built with React, Firebase, Razorpay payments, real-time live chat, admin panel, PWA, and 100+ features. Deployed on Vercel.
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60
GitHub(1)
Kunal Kumar's avatar
Kunal Kumar
Delhi, India
Full-Stack Developer Building Scalable Web, Mobile
New to Contra
Full-Stack Developer Building Scalable Web, Mobile
Cover image for FillFeedback – Affordable Typeform Alternative
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/
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26
Cover image for Government Exam Mock Test App
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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Cover image for Offline AI Audio Transcriber –
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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Cover image for Retail & Kirana Management System
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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GitHub(1)
Aniket Panchal's avatar
Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
AI & ML Solutions for Real-World Impact 🌐
Cover image for Dish Decode- Flask Based API for Recipe Extraction from video
Dish Decode- Flask Based API for Recipe Extraction from video
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3
Cover image for 🤖 MediBot AI – AI-Powered Medical Chatbot
🤖 MediBot AI – AI-Powered Medical Chatbot
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8
Cover image for Comment Feel - YouTube Comments Sentiment Analyzer Tool
Comment Feel - YouTube Comments Sentiment Analyzer Tool
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Shiv Rai's avatar
Shiv Rai
Delhi, India
Full-stack dev crafting polished web experiences.
New to Contra
Full-stack dev crafting polished web experiences.
Cover image for List of 30+ programs your
List of 30+ programs your startup can apply to
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Cover image for Here is something made within
Here is something made within 2 hours in Rive. An interactive card animation.
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Cover image for I took part in contra
I took part in contra X rive's #characterchallenge and the character I built is ... me. I had never worked with Rive before and thought it would be a great opportunity to learn it and make something along the way. Rather than making a character I might never use again, I thought to make myself as the character and use the file in my portfolio. You can interact here: https://shiv-rai.vercel.app/chat (https://shiv-rai.vercel.app/chat)About my character: I am a Full-stack developer who has been recently into UI/UX and web design. And I am loving working on and creating animations. The integration of the rive file in my portfolio is used to create a face-to-face chat like interface, where different animations occur based on the questions asked. There are actually 60 different variations of animations that can be done for this file. This was my second file I made in rive (first one was a simple animation just to know the workflow). How does it look?
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Cover image for Title: I See Everything Have you
Title: I See Everything Have you ever wondered, what would you call someone who can see everything there is to see ? A god? Or just a human? Can a human even see everything? Find out more in this short cinematic which makes you think about a very simple thing. Made using @Renoise Canvas
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GitHub(1)
Rakesh Singh 's avatar
Rakesh Singh
Delhi, India
Web Developer,Web designer , Web Application Developer
1x
Hired
3
Followers
Web Developer,Web designer , Web Application Developer
Cover image for NO REPLY PLATFORM TEACHERS AND
NO REPLY PLATFORM TEACHERS AND STUDENTS COUMUNICATIONS
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35
Cover image for The Kaffa - Cafe &
The Kaffa - Cafe & Coffee
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Cover image for Etto - Ecommerce Electronic Accessories
Etto - Ecommerce Electronic Accessories website
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Cover image for Salonery - Barbar Shop Management
Salonery - Barbar Shop Management
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44
GitHub(1)