Freelancers using Python in SuratFreelancers using Python in Surat
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Zillion Infotech's avatar
Zillion Infotech
Surat, India
Building technology that creates real business impact.
5.0
Rating
1
Followers
Building technology that creates real business impact.
Cover image for BenchMark ◆ Context & Challenge The client
BenchMark ◆ Context & Challenge The client needed a modern and scalable digital platform to showcase services, support marketing campaigns, and improve client engagement. The challenge was to combine high-performance web development with UX-driven design and integrated marketing tools, while enabling businesses to track performance and optimize their digital presence effectively ◆ Approach & Solution We developed a user-centric digital platform that integrates design, content, and marketing capabilities, enabling businesses to manage their online presence and drive data-driven growth. ◆ Key focus areas: ‣ User-centric UI/UX for improved engagement ‣ SEO and performance marketing integration ‣ Content-driven architecture for scalability ‣ Analytics and conversion tracking systems ‣ Secure and high-performance infrastructure ◆ Execution ‣ Built responsive and scalable web platform ‣ Implemented SEO and content management capabilities ‣ Integrated analytics tools for user behavior tracking ‣ Developed UX testing and usability optimization workflows ‣ Designed secure hosting and performance-focused architecture ◆ Outcome & Impact The platform enables businesses to enhance their digital presence and optimize marketing performance. ‣ Improved user engagement through optimized UX design ‣ Increased visibility with integrated SEO strategies ‣ Data-driven decision making with analytics insights ‣ Enhanced conversion rates through performance optimization ‣ Scalable foundation for ongoing digital growth
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Cover image for ◆ Context & Challenge The client
◆ Context & Challenge The client needed a scalable, high-performance learning platform to help experienced engineers prepare for advanced technical interviews through structured training, real-world problem-solving, mentorship, and personalized coaching. ◆ Approach & Solution We built a comprehensive learning and career development platform combining structured courses, live mentorship, coding practice, mock interviews, and career support. Key focus areas: ‣ Advanced technical learning paths ‣ Live training and expert mentorship ‣ Real-world coding challenges ‣ Mock interviews with personalized feedback ‣ Resume and career preparation tools ◆ Execution ‣ Built a scalable platform for live classes and learning modules ‣ Developed interview-focused coding challenges ‣ Implemented mock interviews and feedback workflows ‣ Created learner progress and performance dashboards ‣ Integrated resume and interview preparation tools ◆ Outcome & Impact ‣ Improved technical skills through structured learning ‣ Increased interview readiness through realistic simulations ‣ Enabled personalized learning with expert mentorship ‣ Supported career advancement into top-tier technical roles ‣ Built a scalable platform capable of supporting thousands of learners globally
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Cover image for My Page ◆ Context & Challenge The
My Page ◆ Context & Challenge The client needed a simple yet scalable platform to centralize communication, scheduling, and user interaction through a single personalized link. The challenge was to create a seamless experience where users can share one unified page for messaging, coordination, and engagement without relying on multiple fragmented tools. ◆ Approach & Solution We developed a lightweight digital platform that allows users to generate personalized links for communication, scheduling, and interaction, streamlining how individuals and businesses connect with others. ◆ Key focus areas: ‣ Personalized link-based communication system ‣ Centralized messaging and scheduling experience ‣ Simple and intuitive user onboarding ‣ Fast and lightweight platform performance ‣ Secure and scalable infrastructure ◆ Execution ‣ Built personalized page generation system for users ‣ Developed messaging and interaction workflows ‣ Implemented scheduling and link-sharing capabilities ‣ Designed minimal and user-friendly interface ‣ Created scalable backend for handling user interactions ◆ Outcome & Impact The platform enables users to simplify communication and coordination through a single unified link. ‣ Reduced friction in communication and scheduling ‣ Improved user experience with centralized access ‣ Faster interactions through simplified workflows ‣ Increased efficiency for personal and professional use ‣ Scalable solution for growing user adoption
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Cover image for ZonVids: Video creating platform ◆ Context
ZonVids: Video creating platform ◆ Context & Challenge: The client needed a scalable platform to help eCommerce brands create high-converting video content for their product listings. The challenge was to connect brands with relevant creators, streamline content production, and ensure fast delivery of quality videos that improve conversion rates and visibility on marketplaces like Amazon. ◆ Approach & Solution: We developed a creator marketplace platform that enables brands to discover, collaborate with, and manage influencers and content creators for producing UGC and live video content. ◆ Key focus areas: ‣ Marketplace for connecting brands with video creators ‣ UGC and influencer-based content production workflows ‣ Integration with eCommerce platforms like Amazon ‣ Fast turnaround for video creation and delivery ‣ Scalable system for managing campaigns and creators ◆ Execution: ‣ Built platform for onboarding brands and creators ‣ Developed campaign workflow for video production and delivery ‣ Implemented creator discovery and selection system ‣ Created integration flows for Amazon listings and content usage ‣ Designed scalable backend for managing multiple campaigns ◆ Outcome & Impact: The platform enables brands to boost product visibility and conversions through engaging video content. ‣ Increased conversion rates with video-enabled listings ‣ Simplified creator collaboration and campaign management ‣ Faster content production with streamlined workflows ‣ Improved product visibility across marketplaces ‣ Scalable solution supporting growing brand and creator network
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Python(8)
Abdul Hamid Noorani 's avatar
Abdul Hamid Noorani
Surat, India
Ethical hacker, pentester, web developer, Python programmer
Ethical hacker, pentester, web developer, Python programmer
Cover image for Brute-Force Wordlist Generator
Brute-Force Wordlist Generator
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15
Cover image for Python Based Keylogger
Python Based Keylogger
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4
Cover image for Web VulnScan Pro Development
Web VulnScan Pro Development
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5
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Python(3)
Kunal Khatri's avatar
Kunal Khatri
Surat, India
PhD Statistician | Data Analysis & Research Expert
PhD Statistician | Data Analysis & Research Expert
Cover image for 🧠 Title: Statistical Analysis of
🧠 Title: Statistical Analysis of 325 Survey Responses for Research Study 📌 Problem: The client required a complete statistical analysis of survey data (325 respondents) to examine relationships between multiple factors such as organizational support, job involvement, and employee engagement. They needed: 1. Correct statistical test selection 2. Accurate analysis 3. Clear interpretation for research reporting ⚙️ Approach: I followed a structured analytical process: 1. Data cleaning and preprocessing 2. Reliability testing (Cronbach’s Alpha) 3. Descriptive statistics 4. Correlation analysis 5. Regression analysis 6. Hypothesis testing using SPSS 🛠 Tools Used: SPSS, Excel, R, Python 📊 Results 1. Identified significant relationships between key variables 2. Established impact of organizational support on engagement 3. Generated clear statistical outputs with interpretation 🎯 Outcome: The client successfully completed their research project with strong statistical backing and well-structured results for their report/dissertation. 💡 Key Value Delivered 1. Accurate and reliable statistical analysis 2. Easy-to-understand interpretation 3. Research-ready outputs
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Cover image for 🚀 Available for Statistical Analysis
🚀 Available for Statistical Analysis & Research Projects I’m a PhD-qualified Statistician with 14+ years of experience in data analysis and academic research. I help clients with: • Survey data analysis (SPSS, R, Python) • Hypothesis testing, regression, factor analysis • Thesis, dissertation & research support • Data visualization & interpretation I focus on delivering accurate results, clear insights, and professional reports. 📍 Time Zone: IST (UTC +5:30) 🌍 Available for global clients If you’re working on a research or data-driven project, feel free to connect!
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Cover image for This project involved statistical revision
This project involved statistical revision and analysis of a Social and Environmental Science survey dataset containing responses from 325 participants. The aim was to examine awareness levels, environmental attitudes, community participation, and socio-demographic influences on sustainable behavior. Advanced statistical techniques were used to clean the data, validate responses, generate meaningful insights, and prepare publication-quality outputs including tables, graphs, interpretations, and discussion sections.
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Cover image for This HR analytics project focuses
This HR analytics project focuses on analyzing workforce data to uncover insights into employee attrition, satisfaction levels, income distribution, and key correlations among HR metrics. The analysis aims to help HR departments make informed decisions for retention and workforce planning.
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32
Python(6)
Vinod Kalathiya's avatar
Vinod Kalathiya
proSurat, India
I build mobile apps and web platforms from idea to launch
1x
Hired
5.0
Rating
13
Followers
REPLIT_EXPERT

Expert

I build mobile apps and web platforms from idea to launch
Cover image for LiveScraper: Businesses with Data-Driven Insights
LiveScraper: Businesses with Data-Driven Insights
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5
Cover image for New Homes Birmingham | Move-In Ready Homes Under $300K
New Homes Birmingham | Move-In Ready Homes Under $300K
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5
Cover image for 🚀 Make your ideas real with Figma Make Startup founders can...
🚀 Make your ideas real with Figma Make Startup founders can turn raw ideas into real, testable designs in minutes. With Figma Make, you can build screens, map user flows,create prototypes, and validate concepts fast — even without design skills. It helps you collaborate in real time and present pitch-ready demos that bring your vision to life. If you want help turning your idea into a clear prototype or MVP, feel free to reach out. 🚀 Contact me on Contra: https://contra.com/vinodkalathiya
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Cover image for Adpost an advertising Posting Platform
Adpost an advertising Posting Platform
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Python(1)
Harshil Lakhani's avatar
Harshil Lakhani
Surat, India
Automation engineer building full-stack business systems
Automation engineer building full-stack business systems
Cover image for 🚀 Built something crazy with
🚀 Built something crazy with AI… Most AI website generators give you the same thing: ❌ repetitive layouts ❌ generic designs ❌ obvious AI look So we built Autogenix 👇 An AI engine that generates fully unique websites in one click. Not templates. Every output is fresh, usable, and production-ready. ⚡ What it does: • Generates UI designs + assets • Outputs clean HTML/CSS code • Builds full single-page websites • Works with your existing backend Go from idea → working interface in seconds.
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Cover image for 🤖 Built a Full HR
🤖 Built a Full HR Automation Pipeline — LinkedIn, Email & WhatsApp From job posting to interview scheduling — fully automated. What it does: - LinkedIn Job Posting via browser automation - Candidate Sourcing through a background cron job — auto-finds, auto-reaches out via Email & WhatsApp - Resume Parsing the moment an application comes in, stored directly to Notion - Team Lead Dashboard to review, accept, or reject candidates in one click - Auto Interview Scheduling via WhatsApp & Email — zero manual effort - One pipeline. No manual hiring ops needed. Open to freelance work in automation, AI agents & workflow engineering. Let's connect 🚀
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Cover image for I made an AI that
I made an AI that puts your face into a comic book. Every panel. Consistently. Not a Snapchat filter — an actual autonomous system. Photo goes in, personalized story-driven comic comes out. Built with ComfyUI, custom face conditioning, and an LLM that plans the narrative before generating a single image. 96% face consistency. 98% story coherence. Fully automated. The technical problem that made this interesting: keeping identity stable across panels at different angles, expressions, and lighting — without the face drifting into someone else by panel 5. Solved it. Watch the demo. I build AI systems like this for clients — media pipelines, agentic workflows, content automation. If you have a bold idea that needs serious AI engineering behind it, let's talk.
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Cover image for AutogeniX | Website Generation Automation
AutogeniX | Website Generation Automation | 50+ Website Generated
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Python(3)
Sujal Makwana's avatar
Sujal Makwana
Surat, India
i am a data visualizer
i am a data visualizer
Cover image for FrostGuard AI – Cold Chain
FrostGuard AI – Cold Chain Monitoring & Predictive Rerouting Overview FrostGuard AI is a real-time cold-chain logistics platform built by Team Red Dragon during a hackathon. It monitors a simulated fleet of medical cargo trucks, predicts temperature breaches before they happen using trained ML models, and recommends the nearest cold-storage facility when a shipment is at risk — all rendered on a live geospatial dashboard. Core Capabilities Predictive Breach Detection: An Isolation Forest anomaly detector and a HistGradientBoosting-based forecaster (frost_ml.py (http://ml.py), trained via train_model.py (http://model.py)) flag abnormal temperature patterns and forecast breach risk 30 seconds ahead. The trained model is serialized once (frostguard_ml.joblib) and loaded at boot rather than retrained on every startup — keeping cold starts fast on resource-limited hosts. Nearest-Facility Rerouting: A K-Nearest Neighbors model (scikit-learn) matches an at-risk truck's GPS position to the nearest of 16 cold-storage nodes across India, so operators get an immediate reroute recommendation rather than raw coordinates. Cached Road Routing: Driving paths between cities are fetched from the OSRM routing engine and precomputed once (precompute_routes.py (http://routes.py) → routes_cache.json), removing a live external API dependency from the app's boot path. Interactive Dashboard: main_dashboard.py (http://dashboard.py), built with Streamlit, gives operators a live map, fleet metrics, alerts, and a manual failure-injection tool for demoing breach scenarios. Optional Standalone Services: api.py (http://api.py) (FastAPI) and Bridge.py (http://Bridge.py) (Flask) provide REST endpoints for telemetry ingestion, and Bridge.py (http://Bridge.py) includes a Discord webhook integration that posts an alert when a truck goes CRITICAL — opt-in via a DISCORD_WEBHOOK environment variable. These run independently of the main dashboard and aren't required for it to function. Technologies: Python, Streamlit, scikit-learn (Isolation Forest, HistGradientBoosting, KNN), Docker, REST APIs, OSRM, Discord Webhooks.
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Cover image for Real Estate Sales Dashboard
Real Estate Sales Dashboard
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43
Cover image for Interactive F1 Dashboard
Interactive F1 Dashboard
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Cover image for Global Trade Intalligence Tool
Global Trade Intalligence Tool
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47
Python(3)