Freelancers using FastAPI in India

Freelancers using FastAPI in IndiaFreelancers using FastAPI in India

Projects People

Mehul Sethia | Senseibles

Design, Build, AI, Automation

$50k+: Earned

17x: Hired

5.0: Rating

60: Followers

Design, Build, AI, Automation

Cover image for Web Design and API Integration

Web Design and API Integration

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Cover image for DailyCue — AI-Powered Decision Support

DailyCue — AI-Powered Decision Support for Recruitment Teams URL: https://dailycue.tech One-liner Shipped a recruitment SaaS MVP in 3 days — AI that tells recruiters exactly who to call today, and why. Project Overview Most recruitment teams don't have a lead problem. They have a prioritisation problem. CRMs are full, but consultants still rely on gut feel to decide where to focus each day — which means high-value opportunities get buried and revenue stays unpredictable. DailyCue connects to a recruitment CRM and uses AI to surface daily, prioritised actions for each consultant: who to contact, what the context is, and why now. It replaces the daily morning scramble with a clear, data-driven cue. What I Built CRM data ingestion pipeline with normalisation and deduplication AI prompt layer (GPT-4) generating personalised daily action lists per consultant Tiered Stripe billing in GBP with seat-based pricing JobAdder marketplace OAuth integration for one-click CRM connection Serverless architecture on Vercel with Inngest for background job processing Landing page, onboarding flow, and trial signup How I Shipped It Initial version went live in 3 days. I then iterated directly with real recruitment users, refining the AI prompts based on actual usage feedback until the output matched how experienced consultants naturally think about their pipeline. The product continued to evolve through multiple rounds of user testing and positioning pivots. Tech Stack Next.js · Supabase · PostgreSQL · OpenAI API · Stripe · Inngest · Vercel · JobAdder API

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Cover image for Converc — Turn Website Visitors

Converc — Turn Website Visitors Into Live Conversations URL: https://converc.com One-liner Built a real-time browser-based calling platform from scratch — MVP live in 5 days. Project Overview Converc solves a problem that costs B2B companies revenue every day: high-intent visitors land on your site, can't get a human immediately, and leave. It embeds a call widget that connects visitors to sales reps in real time — no booking links, no forms, no friction. I architected and built the full product: a Next.js frontend, Supabase backend with Row Level Security, and WebRTC-powered peer-to-peer audio calling that works entirely in the browser with no native app required. The stack was chosen for performance, low latency, and the ability to ship fast without sacrificing production quality. What I Built WebRTC call engine with real-time signalling via Supabase Realtime Embeddable call widget (drop-in script for any website) Agent dashboard with live call status, queue management, and session history Webhook integration layer for CRM and Slack notifications on call events OAuth-based authentication with Google and dev/prod environment separation Supabase RLS policies enforcing strict data isolation between workspaces How I Shipped It The core MVP — widget, signalling, agent dashboard, and working calls — was shipped in 5 days using Cursor with Claude as the AI pair programmer. Post-MVP work covered Google Safe Browsing clearance, Slack App submission, analytics scoping, and hardening the auth and security model for production. Tech Stack Next.js · Supabase · PostgreSQL · WebRTC · Vercel · Tailwind CSS

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Cover image for eSIM Platform Development for Alosim

eSIM Platform Development for Alosim

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Algo Trading Developer - Pine Script,MQL5 &Python Automation

31: Followers

Algo Trading Developer - Pine Script,MQL5 &Python Automation

Cover image for Designed and implemented a robust

Designed and implemented a robust webhook-based trading automation system that connects TradingView signals to real-time trade execution via the Tradovate API. The system is built using Python and handles signal reception, validation, and order execution in a seamless automated pipeline. The architecture ensures low-latency communication, secure data handling, and reliable execution of trades without manual intervention. It processes incoming webhook alerts, applies validation logic, and triggers precise API-based trade execution. Key features include: • Real-time webhook signal processing (TradingView alerts) • Python-based signal receiver and validation engine • Secure and reliable API integration (Tradovate) • Low-latency execution pipeline • Fully automated trade workflow (zero manual input) • Scalable design for multi-strategy integration This solution is ideal for traders and firms looking to automate their strategies using webhook-driven architecture, enabling faster execution, reduced human error, and consistent performance in live trading environments.

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Cover image for Developed an automated options trading

Developed an automated options trading bot using Python that executes trades on Deriv based on real-time strategy signals and multi-condition validation logic. The system is designed to operate continuously with minimal latency, ensuring fast and accurate trade execution in volatile market conditions. The bot integrates signal generation, validation, and execution into a single automated workflow. It evaluates multiple technical indicators, applies strict entry conditions, and triggers trades only when high-probability setups are detected. Key features include: • Fully automated options trading (Deriv API integration) • Real-time signal processing and execution • Multi-indicator validation logic for higher accuracy • Risk management controls and trade filtering • Continuous operation with minimal manual oversight • Scalable architecture for strategy customization This solution enables traders to automate their options trading strategies end-to-end, improving consistency, speed, and discipline while eliminating emotional decision-making.

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Cover image for Developed a fully automated trading

Developed a fully automated trading system for MetaTrader 5 (MT5) that executes trades based on validated multi-indicator signals. The system integrates TradingView-generated signals with a Python-based processing engine, which evaluates multiple technical conditions before triggering precise trade execution. The Expert Advisor (EA) is designed with advanced trade logic, risk management, and real-time execution capabilities. It ensures consistent performance by removing emotional decision-making and strictly following predefined rules. Key features include: • Automated trade execution on MT5 (buy/sell orders) • Integration with external signal sources (TradingView via webhook) • Multi-indicator validation (RSI, EMA, ADX, Volume, etc.) • Built-in risk management (lot sizing, SL/TP control) • Real-time processing with minimal latency • Fully customizable strategy logic This system enables traders to automate their strategies end-to-end — from signal generation to execution — ensuring speed, accuracy, and consistency in live market conditions.

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Cover image for Engineered a high-performance Python-based trading

Engineered a high-performance Python-based trading signal engine designed to generate precise and reliable trade signals using multi-indicator confluence logic. The system evaluates over 12 technical indicators including RSI, EMA, ADX, Volume, and trend-based conditions to identify strong market opportunities while effectively filtering out noise and false signals. The architecture is built to process real-time market data, validate multiple conditions simultaneously, and trigger only high-probability trade setups. This significantly improves signal accuracy and reduces unnecessary trades. Key capabilities include: • Multi-indicator confluence engine (12+ conditions) • Real-time signal processing and validation • False signal reduction using layered logic • Scalable architecture for integration with trading APIs • Seamless compatibility with automated execution systems (webhooks, APIs) This system can be integrated with platforms like TradingView, Tradovate, or custom trading environments to enable fully automated trading workflows — from signal generation to execution. Designed for traders and firms looking to achieve consistent, rule-based, and emotion-free trading through intelligent automation.

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AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

99: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for PriceRipper - Price Comparison Website

PriceRipper - Price Comparison Website

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Cover image for Realm - Social Media Platform for Music Producers and Artists

Realm - Social Media Platform for Music Producers and Artists

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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Cover image for Légacie Phase 1

Légacie Phase 1

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Full stack web developer and automation expert.

$5k+: Earned

46x: Hired

5.0: Rating

24: Followers

Expert

Full stack web developer and automation expert.

Cover image for Chatterbox TTS: Real-Time Text-to-Speech Service

Chatterbox TTS: Real-Time Text-to-Speech Service

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Real-Time AI Avatar Backend and Frontend integration Development

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Cover image for Audio Processing API Deployment on AWS Lambda

Audio Processing API Deployment on AWS Lambda

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Abhiram Tinguria

AI Agents for SaaS | Replo Shopify Landing Pages

109: Followers

expert

expert

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AI Agents for SaaS | Replo Shopify Landing Pages

Cover image for I help SaaS startups automate

I help SaaS startups automate customer support, onboarding, and internal workflows using AI agents. I build AI chatbots and custom AI agents trained on your product documentation so users get instant answers, support teams save time, and businesses capture more leads. What I build: • AI support chatbots for SaaS • Custom AI agents inside apps & dashboards • AI-powered lead generation assistants • Automation workflows using APIs and LLMs Tech stack: OpenAI APIs • AI Agents • FastAPI • Node.js • SaaS integrations If you're building a SaaS product and want to automate support or user workflows with AI, feel free to reach out. https://contra.com/s/q6Qrq2NF-ai-chatbot-that-cuts-support-tickets-by-60percent

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Cover image for Built AI Assistant Hub —

Built AI Assistant Hub — a production-grade AI chat application deployed on Replit. The project demonstrates how quickly you can build and ship AI-powered tools using Replit as the development and deployment environment. Key highlights: • Custom AI chat interface • Fast API backend architecture • Scalable deployment on Replit • Clean UI designed for productivity 🔗 Try the live app: https://ai-assistant-hub--abhiram678.replit.app/ Replit continues to be one of my favorite platforms for rapidly building and deploying AI applications.

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Cover image for Launched an AI-powered SaaS Backend

Launched an AI-powered SaaS Backend & MVP Architecture Planner designed to help founders avoid backend mistakes early. It structures API design, database schema, authentication flow, and scalability roadmap — so MVPs are built clean, modular, and ready to scale.

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Cover image for FinanceIQ Pro – Secure Flask REST API Backend

FinanceIQ Pro – Secure Flask REST API Backend

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Jagwinder Singh

Full Stack Developer

6: Followers

Full Stack Developer

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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Cover image for Revolutionize Waste Management with IoT-Driven Smart Bins

Waste Management Platform A smart waste management system that uses IoT sensors to monitor bin levels in real time and make waste collection more efficient. It connects smart bins, collectors, and administrators on one platform so everyone stays updated. The system sends alerts when bins are full, helps plan better collection routes, and provides simple insights to improve overall waste handling and reduce manual effort.

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Cover image for AI E-Wallet App
Designed and developed

AI E-Wallet App Designed and developed a modern AI E-Wallet mobile app using a Glassmorphism design system to deliver a premium, transparent, and depth-rich financial experience. The app combines AI-driven intelligence with a clean, intuitive interface for seamless digital money management. Handled end-to-end product development as both designer and developer—from UX research, wireframing, and UI design to front-end implementation—ensuring consistency, usability, and smooth performance across all screens. Key Features: > AI-based spending insights & financial suggestions > Smart expense tracking & auto-categorization > Instant peer-to-peer payments > Digital wallet with multi-account management > Transaction history with visual analytics > Secure authentication (biometric + OTP) > Real-time notifications & alerts > Interactive dashboard with Glassmorphism UI cards The final product delivers a futuristic, user-friendly E-Wallet experience that blends aesthetic innovation with practical financial tools for modern users.

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Cover image for AI Smart Call Assistance

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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Flutter Developer | AI Chatbots & Automation

38: Followers

Flutter Developer | AI Chatbots & Automation

Cover image for Built an AI-powered customer support

Built an AI-powered customer support chatbot that can handle user queries instantly and automate business communication. The chatbot understands user intent and provides accurate, context-aware responses using advanced AI models. It is designed to reduce manual effort, improve response time, and enhance customer experience. This solution can be integrated into websites or apps to provide 24/7 automated support, helping businesses save time and increase efficiency. "Open to building custom AI solutions for businesses"🚀 .

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Cover image for Built an AI-powered chatbot that

Built an AI-powered chatbot that enables businesses to search and retrieve information from documents instantly using Retrieval-Augmented Generation (RAG). The system processes uploaded documents, converts them into embeddings, and stores them in a vector database for fast and accurate retrieval. When a user asks a question, the chatbot fetches relevant context and generates intelligent, human-like responses. 💡 This solution helps businesses automate document search, reduce manual effort, and improve productivity. 🔥 Key Highlights: • Real-time document querying • Context-aware AI responses • Fast and scalable architecture ⚙️ Built using Python, FastAPI, OpenAI, LangChain, and FAISS.

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Cover image for This project demonstrates an AI

This project demonstrates an AI chatbot that responds instantly to user queries and automates customer conversations. It is designed to save time, improve response speed, and capture leads without manual effort. The chatbot can be customized for websites, Instagram DMs, and other platforms based on business needs. Perfect for businesses looking to automate customer support and increase conversions.

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Cover image for AI Chatbot for Customer Support

AI Chatbot for Customer Support Automation This AI chatbot helps businesses automate customer queries and reduce response time by up to 60%. 🔹 Problem: Businesses often struggle with delayed responses, repetitive queries, and high support workload. 🔹 Solution: Developed an AI chatbot using NLP that can understand user intent and provide instant, accurate replies. 🔹 Key Features: • Handles common customer queries automatically • Basic intent recognition using NLP • Fast and real-time responses • Easy integration with web/mobile apps 🔹 Result: • Reduced response time • Improved customer experience • Lower support workload

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Siddharth chopda

Bengaluru, India

Your go-to web developer for all AI, full-stack projects.

$1k+: Earned

4x: Hired

5.0: Rating

4: Followers

Expert

Your go-to web developer for all AI, full-stack projects.

Cover image for Full-Stack AI Engineering and Team Leadership

Full-Stack AI Engineering and Team Leadership

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Cover image for Siddharth Chopda

Siddharth Chopda

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Cover image for Portfolio

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