Fastapi jobs

I need a FastAPI service that listens to WhatsApp webhooks, supports several phone numbers at once, and responds automatically. How it should work: -Receives inbound WhatsApp messages and files (text, images, PDF, Word, Excel) via webhook -Stores message metadata + content references in MySQL -Automatically replies in WhatsApp: For text: “message received” + copy of the original message For files: “file received” + filename Deliverables 1. Source code 2. MySQL schema + seed/migration file. 3. README with setup steps, environment variables and instruction for local deployment.

...Warranty and Post-Implementation Support 1. Frontend Architecture and Interface (SPA) Development as a Single Page Application (SPA) for fluid navigation. 6-level tree structure (Country > Sector > Company > Year > Period > File) with lazy loading. Modular layout with integrated PDF viewer and conditional panels for advertising or AI. 2. Backend, Infrastructure, and Data Pipeline Stack based on FastAPI/Node.js and vector databases (Pinecone/Milvus). Storage on AWS S3. Native text extraction system (no OCR) and automated weekly indexing through embedding generation. 3. Security and DRM (Digital Rights Management) OAuth 2.0 authentication. Content protection through streaming (no direct download), dynamic watermarking (Name/IP), and blocking of save and print func...

...in SPX options using ThetaData. I have a complete financial dashboard (2,000+ lines of production code) that needs deployment. Development is fully finished and tested locally. I need a deployment/DevOps specialist to handle setup, integration, and take the system live for an initial pilot of two users. WHAT WE HAVE - Complete React 18 + TypeScript frontend (28 files, 1,037 lines) - Complete FastAPI backend (11 files, 673 lines) - All 6 dashboard features fully implemented - WebSocket real-time updates working - All calculations and formulas complete - Complete documentation (README + deployment guide) - Docker configurations ready - Vercel + Railway configs prepared - Environment templates ready The code works perfectly locally. Everything is tested and documented. WHAT WE ...

...integration experience. Core Functional Requirements Frontend (SPA) Single Page Application (SPA) 6-level hierarchical navigation: Country → Sector → Company → Year → Period → File Lazy loading for large datasets Secure embedded PDF viewer (no download) Conditional panels for AI insights (Pro users) or ads (Free users) Multi-language UI: English & Spanish Backend & Infrastructure Backend using FastAPI or Node.js Document storage on AWS S3 Native PDF text extraction (no OCR) Automated weekly indexing pipeline Vector embeddings stored in Pinecone or Milvus Metadata-driven document classification Security & DRM OAuth 2.0 authentication & authorization Secure document streaming only Dynamic watermarking (user name + IP addres...

Senior Full-Stack Engineer (Python/FastAPI + React) – Secure Platform MVP Overview I am looking for a senior full-stack engineer to build a secure, authentication-heavy web platform MVP. The project involves: - User authentication & verification - Role-based access control - Relationship-based data modeling - Private content access - Secure cloud deployment Product details will be shared after NDA and shortlisting. Required Tech Stack (Mandatory) Backend Python + FastAPI PostgreSQL (relational modeling) Redis (caching, rate limiting, OTP/session handling) JWT authentication (access + refresh tokens) Async/background task processing (Celery or equivalent) Frontend React + TypeScript preferred Tailwind CSS or similar utility-first styling Infrastruct...

...Warranty and Post-Implementation Support 1. Frontend Architecture and Interface (SPA) Development as a Single Page Application (SPA) for fluid navigation. 6-level tree structure (Country > Sector > Company > Year > Period > File) with lazy loading. Modular layout with integrated PDF viewer and conditional panels for advertising or AI. 2. Backend, Infrastructure, and Data Pipeline Stack based on FastAPI/Node.js and vector databases (Pinecone/Milvus). Storage on AWS S3. Native text extraction system (no OCR) and automated weekly indexing through embedding generation. 3. Security and DRM (Digital Rights Management) OAuth 2.0 authentication. Content protection through streaming (no direct download), dynamic watermarking (Name/IP), and blocking of save and print func...

...Warranty and Post-Implementation Support 1. Frontend Architecture and Interface (SPA) Development as a Single Page Application (SPA) for fluid navigation. 6-level tree structure (Country > Sector > Company > Year > Period > File) with lazy loading. Modular layout with integrated PDF viewer and conditional panels for advertising or AI. 2. Backend, Infrastructure, and Data Pipeline Stack based on FastAPI/Node.js and vector databases (Pinecone/Milvus). Storage on AWS S3. Native text extraction system (no OCR) and automated weekly indexing through embedding generation. 3. Security and DRM (Digital Rights Management) OAuth 2.0 authentication. Content protection through streaming (no direct download), dynamic watermarking (Name/IP), and blocking of save and print func...

...automatic hashing, and immutably storing the hash on a blockchain network (Ethereum or any suitable L2 you recommend) • Instant on-screen validation result plus a shareable verification link • Admin dashboard where I can review submissions, view analytics, and revoke or re-issue hashes when needed Tech notes I’m open to React, , or similar for the front-end, and Node.js, Python (FastAPI), or comparable for the back-end. What matters most is clean code, clear documentation, and a tamper-proof hashing workflow that can scale as usage grows. Deliverables 1. Fully functional web app deployed to a cloud host (AWS, Azure, or Vercel). 2. Source code in a private Git repo with setup instructions. 3. Simple user and admin manuals (PDF or Markdown). 4. A sho...

...(using a custom expert-level prompt) to identify legal gaps or outdated clauses. PDF Generator: Create a branded, professional audit report (e.g., using ReportLab or WeasyPrint). 3. Infrastructure: The developer will have Full Root Access to a VPS (Ubuntu). Setup of the Python environment (FastAPI or Flask) as a private API. Database: Connection between WordPress (MySQL) and the Python scanner to store results. Technical Stack: Frontend: WordPress (Elementor/Astra), PHP, JavaScript. Backend: Python 3.x, FastAPI/Flask. Automation/Scraping: Playwright (for dynamic content/cookies). AI: OpenAI API integration (GPT-4o). Server: Linux VPS with Nginx/Apache. Deliverables: A fully functional WordPress site with a "Scan" feature. The Python scanning engine deployed on...

...direction and overall architecture, and I’m looking for a Russian-speaking freelance developer who can work as a true full-stack partner. The work spans the entire stack—one day refining a React component, the next implementing a FastAPI endpoint, and occasionally helping shape core backend workflows. What I’m looking for Strong experience with TypeScript and modern front-end frameworks such as React, , or similar, along with current tooling and best practices. Solid Python skills and hands-on experience with at least one production-ready web framework (FastAPI preferred, but Django or Flask are also fine). Experience designing and consuming REST APIs, handling authentication, and working with relational databases. Clean Git workflows and a focus on ...

I need a backend engineer to turn my spec into an MVP that exposes a clean, API-first trust and reputation service for autonomous AI agents. The entire product lives server-side—no front-end work at all—so every feature must be reachable through intuitive, well-documented endpoints. Core requirements • Stack: your choice of FastAPI (Python) or Node (TypeScript), backed by Postgres, containerised with Docker, and wired to Stripe for billing events. • Auth: simple, robust API Key flow; keys must be generated, stored, and validated on every request. • Scoring logic: compute each agent’s trust score solely from its interaction history, according to the formulas in the spec. Performance metrics or direct user feedback are outside this first itera...

...accuracy stay competitive. • Prompt/response logic: craft the prompt pipeline so it captures context (conversation history, customer metadata) and returns concise answers without hallucinating policies or numbers. • Safety & tone controls: integrate guardrails for profanity, personally identifiable information, and brand voice consistency. • Simple API wrapper: deliver clean Python code (FastAPI preferred) exposing a single endpoint: POST /reply with {user_message, conversation_id}. • Quick-start docs: a README and sample cURL call are enough; I’ll plug it into the wider system from there. Acceptance test I’ll supply ten anonymized tickets. The program should answer at least eight of them with correct, policy-aligned replies in under...

...──────────── 12. RECOMMENDED TECH STACK ──────────────────────────────────────── ### Backend • Node.js (NestJS) OR Laravel • REST + WebSockets • PostgreSQL • Redis ### Fleet Core • Fleetbase (extended via plugins) ### Frontend (Web Dashboards) • React.js or • Tailwind CSS • Mapbox or OpenStreetMap ### Mobile Apps • Flutter (preferred) OR React Native ### AI & Analytics • Python • FastAPI • Pandas • Scikit-learn / TensorFlow (later phase) ### Payments • Stripe SDK • PayPal SDK • CMI API ### DevOps • Docker • CI/CD • Cloud hosting (AWS / GCP / Azure) ### Design • Figma (mandatory) • Design System • UX focused on minimal interaction ────────────────────────────...

I need a developer to quickly deploy an MVP on a DigitalOcean droplet. I already have: Tailwind HTML UI (prototype ready) MySQL database backup that needs to be imported I need help with: Importing the MySQL database to the droplet Minimal server configuration Connecting the UI to the database through a lightweight backend API (FastAPI preferred, Node acceptable) Basic deployment setup so core features run end-to-end Goal: Fast working MVP — simple, clean setup — single droplet — no overengineering Please include: Relevant deployment experience Estimated turnaround time Rate or fixed price

...contributing to AI-powered features using agents, AWS Bedrock, and Retrieval -Augmented Generation (RAG). Responsibilities - Design, develop, and maintain scalable backend services using Python and FastAPI - Build and optimize frontend applications using React - Architect and deploy applications on AWS - Integrate payment systems such as Stripe - Build and maintain user management systems including SSO - Design and integrate AI-driven features including agents, AWS Bedrock, and RAG pipelines Required Qualifications - 2-3 years experience as a Full-Stack Developer - Strong proficiency in Python and FastAPI - Strong experience with React - Solid experience with AWS - source code version control and CI/CD - Experience integrating Stripe or similar payment systems - Strong u...

...clear iconography rather than flat text lists. • Fully responsive layouts; breakpoints should feel native on phones, tablets, and large monitors. • Dashboard or widget area ready for future add-ons like schedule look-ups or delay alerts (not required now, just architected for easy expansion). You’re free to choose the stack—React, Vue, or similar on the front-end; Node.js, Python (Django/FastAPI), or another back-end—as long as the code is clean, documented, and connects seamlessly to the live data feed we’ll provide. Real-time handling via WebSockets, SignalR, or SSE is expected rather than periodic polling. Acceptance criteria: 1. Map loads and begins streaming position updates within three seconds. 2. Pins move smoothly in under on...

...their passions, strengths, market needs, and core values. • An underlying algorithm or ruleset that cross-references those inputs with an open skills taxonomy and returns a short, ranked list of recommended skills. • Clear, well-commented code and a brief README so I can extend the project later. Tech Any modern stack is fine—feel free to propose JavaScript (React or vanilla), Python (Flask/FastAPI), or another lightweight option you prefer. Clean architecture and easy deployment (e.g., Docker or one-click Heroku) are more important than the specific language. Deliverables 1. Source code in a public or private repo. 2. Readable documentation explaining the recommendation logic and how to run the prototype locally. 3. A short video or screenshots that...

...their passions, strengths, market needs, and core values. • An underlying algorithm or ruleset that cross-references those inputs with an open skills taxonomy and returns a short, ranked list of recommended skills. • Clear, well-commented code and a brief README so I can extend the project later. Tech Any modern stack is fine—feel free to propose JavaScript (React or vanilla), Python (Flask/FastAPI), or another lightweight option you prefer. Clean architecture and easy deployment (e.g., Docker or one-click Heroku) are more important than the specific language. Deliverables 1. Source code in a public or private repo. 2. Readable documentation explaining the recommendation logic and how to run the prototype locally. 3. A short video or screenshots that...

...their passions, strengths, market needs, and core values. • An underlying algorithm or ruleset that cross-references those inputs with an open skills taxonomy and returns a short, ranked list of recommended skills. • Clear, well-commented code and a brief README so I can extend the project later. Tech Any modern stack is fine—feel free to propose JavaScript (React or vanilla), Python (Flask/FastAPI), or another lightweight option you prefer. Clean architecture and easy deployment (e.g., Docker or one-click Heroku) are more important than the specific language. Deliverables 1. Source code in a public or private repo. 2. Readable documentation explaining the recommendation logic and how to run the prototype locally. 3. A short video or screenshots that...

...automatic hashing, and immutably storing the hash on a blockchain network (Ethereum or any suitable L2 you recommend) • Instant on-screen validation result plus a shareable verification link • Admin dashboard where I can review submissions, view analytics, and revoke or re-issue hashes when needed Tech notes I’m open to React, , or similar for the front-end, and Node.js, Python (FastAPI), or comparable for the back-end. What matters most is clean code, clear documentation, and a tamper-proof hashing workflow that can scale as usage grows. Deliverables 1. Fully functional web app deployed to a cloud host (AWS, Azure, or Vercel). 2. Source code in a private Git repo with setup instructions. 3. Simple user and admin manuals (PDF or Markdown). 4. A sho...

My Python-based STOCK TRADING AGO web application is suffering from a real-time data issue: background processing runs, but the results reach the client side with a noticeable lag. I need you to trace that bottleneck, bring the pipeline back to true real-time behaviour, and then give the interface a fresh look while you’re in the codebase. Current stack • Python 3.10 with FastAPI • Celery + Redis for background jobs • PostgreSQL 13 • Front-end in plain HTML/CSS with a sprinkling of vanilla JS What I expect from you 1. Diagnose why background tasks aren’t pushing updates instantly—whether it’s queue configuration, database locking, or cache timing—and implement a clean, well-documented fix. 2. Refactor or rewrite an...

...proctoring system with violation detection and session monitoring Built adaptive multi-session interview engine with dynamic question generation Designed real-time admin dashboard using WebSockets Implemented JWT-based authentication and role-based access control Developed analytics module with PDF reporting Optimized performance using lazy loading and API caching Tech Stack: React 18, TypeScript, FastAPI, WebSockets, JWT, PostgreSQL, AI APIs PRIDE – AI-Powered Content Studio Role: Frontend / Full Stack Developer Designed dynamic template management and real-time PDF preview system Developed responsive UI using Tailwind CSS and Framer Motion Implemented accessible components with ARIA standards Managed application state using React Hooks and Context API Integrated dark/lig...

Fraud Detection Platform - Extraction Accuracy & Expansion Project Title **Senior Python Developer Needed for Document Fraud Detection Platform (Ongoing)** --- Project Description I have an 80% complete document fraud detection platform (Fraud X) built with: - **Backend**: Python, FastAPI, PostgreSQL, asyncpg - **Frontend**: React - **Infrastructure**: DigitalOcean VPS, Nginx, Gunicorn/Uvicorn, HTTPS - **OCR**: Multi-provider (Google Document AI, AWS Textract, GPT Vision fallback) Current Status The core system is working: - File upload & scan lifecycle - Multi-provider OCR with scoring - Fraud engine with PASS/CAUTION/FAIL verdicts - Admin dashboard with evidence viewer - JWT authentication & role-based access What Needs to Be Fixed (Phase 1 - Immediate) **1. Pa...

Title Senior Full-Stack & Mobile Engineer (React + FastAPI) — iOS/Android Overview We’re looking for a senior engineer to build, optimize, and scale a property-management web application and deliver native-quality mobile apps for iOS and Android. You’ll take ownership end-to-end: architecture, performance, security, release pipelines, and ongoing product development. Responsibilities • Build and maintain the web app (admin + owner/tenant portals) using React/TypeScript. • Design and implement backend services using FastAPI (Python) and REST APIs. • Integrate and optimize data layer (e.g.,) • PostgreSQL/Supabase/PostgREST or equivalent). •Develop mobile apps for iOS + Android using React Native (preferred) or Flutter/native, inc...

...Audio project management • Download and sharing options ⸻ 10. Performance & Scalability • Queue-based audio processing • Load balancing for AI generation • CDN integration for faster delivery ⸻ Technical Requirements Preferred Tech Stack (Developers can propose alternatives with justification) Frontend • React / / Vue.js • Tailwind / Material UI Backend • Node.js / Python (FastAPI / Django) • REST or GraphQL APIs AI & Voice Processing • Integration with: • ElevenLabs / Coqui / Azure TTS / Custom models • Voice cloning model integration Database • PostgreSQL / MongoDB Storage • AWS S3 / Google Cloud Storage Deployment • Dockerized architecture • AWS / GCP / Azure cloud ho...

...their passions, strengths, market needs, and core values. • An underlying algorithm or ruleset that cross-references those inputs with an open skills taxonomy and returns a short, ranked list of recommended skills. • Clear, well-commented code and a brief README so I can extend the project later. Tech Any modern stack is fine—feel free to propose JavaScript (React or vanilla), Python (Flask/FastAPI), or another lightweight option you prefer. Clean architecture and easy deployment (e.g., Docker or one-click Heroku) are more important than the specific language. Deliverables 1. Source code in a public or private repo. 2. Readable documentation explaining the recommendation logic and how to run the prototype locally. 3. A short video or screenshots that...

...webhooks or Zapier. Handle conversation history/context to avoid repetitive or amnesia-like responses. Escalate qualified leads (e.g., ready-to-sell) to me via email/Slack notifications. Optional: Pull external data (e.g., property comps from Zillow/PropStream API) for hyper-personalized messages. Tech Stack: Launch Control API/webhooks for SMS send/receive. Zapier or custom code (Python with FastAPI, Redis for state management) if needed for advanced automation. Ensure low latency, scalability for high-volume leads, and monitoring for errors. Compliance & Best Practices: Auto-add disclaimers/opt-outs to all messages. Rotate templates to avoid carrier filtering. Test for high engagement rates (aim for 10-20% responses). Testing & Delivery: Start with a small test campa...

...front end with ShadCN components, design the conversational flow, and connect everything to a secure Python back end that calls the GPT endpoint. The system must handle user authentication, store chat history in a database, and follow best practices for encrypting and validating any sensitive financial data. Deliverables • Responsive chat UI and supporting pages built with ShadCN • Python (FastAPI preferred) API that proxies GPT-4o, logs context, and rate-limits requests • Database integration—PostgreSQL or similar—for users, sessions, and prompts • Prompt-engineering layer that lets us adjust tone and compliance rules easily • Deployment scripts and a concise README so I can launch on Vercel or AWS This is a fixed-price project of...

Project Title: Build a Multi-Modal AI Productivity Suite (Meeting & Document Intelligence) Project Description I am seeking a developer to collaborate on a high-level AI productivity tool. The goal is to create a system that can process both live audio (meetings) and static documents (PDFs/Reports) to provide intelligent insights. Key Deliverables: Module 1: Speech-to-Summary: Implemen...Analysis: A dashboard component that tracks the "mood" of a conversation or document. Integration: A clean, functional API or Streamlit-based frontend to tie these features together. Required Technical Stack: Language: Python AI Frameworks: LangChain or LlamaIndex Transcription: OpenAI Whisper or AssemblyAI Database: Vector Databases (ChromaDB, Pinecone, or FAISS) Frontend: Streamlit...

...registering to our website or webapp will receive a QR code, where the tip will be paid to (linked to a IBAN bank account) Payment Integration A. Stripe * Apple Pay / Google Pay + cards * Stripe Connect for recipients * Webhooks + automated payouts Tech Requirements Frontend * Mobile-first web app / PWA * React or (preferred) * Fast, simple UI Backend * Node.js (Express/Nest) or Python (FastAPI) * REST API * Webhooks for payments * Cron for threshold payouts * Role-based access (staff/venue/admin) Database * PostgreSQL/MySQL * Entities: Users, Venues, Staff, TipLinks, Transactions, Payouts Security * HTTPS, rate limits, secure tokens * GDPR basics * Logging & monitoring Deliverables 1. Working web app + dashboards 2. Payment integration with webhooks 3. QR generation sy...

...strategy systematically, not a commercial product or institutional platform. What We're Building A personal trading assistant that: 1. Monitors my watchlist of 30-50 stocks 2. Automates entry/exit decisions based on my rules 3. Shows real-time charts and portfolio status 4. Manages risk with simple safety rules 5. Runs reliably on my computer Technology Requirements Essential Stack · Backend: FastAPI (for async handling) · Database: SQLite (with basic persistence) · Frontend: Simple dashboard with TradingView charts · Broker API: DhanHQ (Indian broker) · Libraries: pandas for calculations System Architecture ``` Simple Personal Trading System: 1. Data Layer: Fetches prices from DhanHQ 2. Logic Layer: Applies my trading rules 3. Exec...

...freshness and pipeline execution health. Inference latency and failure rates. A full MLOps stack is not required, but production-awareness is mandatory. Technical Requirements Python (production-quality code, not notebooks) Pandas, NumPy scikit-learn, CatBoost, XGBoost, or equivalent Time-series forecasting techniques SQL for intermediate storage or aggregation (if applicable) REST API framework (FastAPI or similar) Experience designing multi-tenant data systems Cloud provider and infrastructure details are flexible. Deliverables: Modular Python codebase covering: Data ingestion and validation Config-driven preprocessing Demand forecasting model Inventory planning model Price optimization model Clear configuration system for onboarding new clients Inference interfaces or APIs Do...

...runs: * Every trading day * On AWS EC2 Windows instance * Alerts must be filtered strictly to IST market hours * No duplicate or delayed alerts 6. Interactive Charting * Display Point & Figure charts interactively * UX comparable to TradingView or similar * Must support: * Zoom / pan * Timeframe switching * Live updates 7. Tech Stack (Preferred, Not Mandatory) * Backend: Python (FastAPI / Flask / Django) * WebSockets: KiteTicker * Frontend: * React / Vue / plain JS * OR Python-based UI (Streamlit acceptable only if justified) * Hosting:AWS EC2 (Windows) * Alerts: Telegram Bot API 8. Alert based trades * Based on the alerts(buy/sell), proceed to trigger the trade. * The trade should be overnight all the time. * Should have the view to lock the lots and c...

...converts any coaching/self-made Prelims test PDF into: Accurate question extraction (≈100 questions) Question-by-question review with AI-generated solutions Detailed analytics and leaderboard Clean, modern gradient-based UI This is not a test-taking or social platform. Scope is strictly limited to features below. Tech Stack (Preferred / Existing) Frontend: React + Tailwind CSS Backend: FastAPI Database: MongoDB OCR: High-accuracy OCR pipeline (see below) LLM: API-based (for solution generation) Payments: Razorpay Fonts: Inter / Space Grotesk (Google Fonts) Core Features (Mandatory) 1. Authentication Phone number login (OTP-based) Protected routes for logged-in users 2. Test Upload Upload question paper PDF (scanned or digital) Optional answer key upload (...

...lead routing Core Objective Enable consumers to compare GMC vehicles (starting with 2026 GMC Canyon) across regional dealers, rank offers by “best deal,” and route high-intent buyer actions exclusively to Kevin Grover GMC. –––––––––– A. SYSTEM ARCHITECTURE –––––––––– Frontend Web app (React or ) Mobile-first design Search, filters, results grid, vehicle detail pages, lead form Backend API (FastAPI or Node.js) Authentication (admin + dealer dashboard) Lead processing + scoring service Dealer registry service Database PostgreSQL Tables: Dealers Listings Leads Lead status / follow-up Pricing snapshots Search Engine OpenSearch or Elasticsearch for fast f...

...qualifies, presents offer, sends summary + LOI AI schedules human follow-up Human finalizes contract CRM updated automatically Compliance & Safety Human makes initial outbound call AI only engages after warm transfer Consent tracking for SMS/email Opt-out handling No legal advice No fabrication of financial facts Full audit trail Tech Stack (Flexible, but preferred experience) Backend: Python (FastAPI) or Node.js Database: PostgreSQL Queue/workflows: Celery / Temporal / BullMQ Voice: ElevenLabs Telephony: Twilio / SIP / Retell LLMs: OpenAI / Anthropic (tool-calling) CRM APIs E-signature APIs Webhooks & event-driven design Who We’re Looking For This is not an entry-level project. We want: Senior full-stack engineers AI/agent architects Voice AI specialists Small, ...

...users expect immediacy, so both the iOS and Android builds must show: • Real-time data updates pulled directly from the API (WebSockets or Server-Sent Events welcome). • Interactive charts that visualise price movement clearly on small screens. • Push notifications tied into the alert engine described above. Please make the stack explicit in your proposal: the Python framework you prefer (FastAPI, Django Rest Framework, or similar), the charting library you have in mind for the apps, and how you would deploy the solution end-to-end so it scales cleanly under load. I am open to AWS, GCP, or another cloud as long as the path to production is realistic and well documented. Acceptance will hinge on: 1. A Git repo with backend code, Dockerfile, and instruc...

...applicants and update application status. • Message candidates securely. C. Platform Admin • View, suspend, or delete user accounts. • Moderate content and handle reports. • Access secure audit logs. 4 Programming Languages and Frameworks • Operating System: Ubuntu (provided VM) • Database: PostgreSQL (recommended) or MySQL / MongoDB with justification • Web Server: Nginx • Backend: Python (FastAPI/Django), Node.js (Express/Nest), or Java (Spring Boot) • Frontend: React, Vue, or server-rendered pages 5 Milestones and Timeline (January–April) February Milestone 1 [No Credit] (February 13) • Finalize technology stack. • Configure HTTPS with self-signed or CA-issued certificates. • Deploy a skeleton ap...

...applicants and update application status. • Message candidates securely. C. Platform Admin • View, suspend, or delete user accounts. • Moderate content and handle reports. • Access secure audit logs. 4 Programming Languages and Frameworks • Operating System: Ubuntu (provided VM) • Database: PostgreSQL (recommended) or MySQL / MongoDB with justification • Web Server: Nginx • Backend: Python (FastAPI/Django), Node.js (Express/Nest), or Java (Spring Boot) • Frontend: React, Vue, or server-rendered pages 5 Milestones and Timeline (January–April) February Milestone 1 [No Credit] (February 13) • Finalize technology stack. • Configure HTTPS with self-signed or CA-issued certificates. • Deploy a skeleton ap...

...applicants and update application status. • Message candidates securely. C. Platform Admin • View, suspend, or delete user accounts. • Moderate content and handle reports. • Access secure audit logs. 4 Programming Languages and Frameworks • Operating System: Ubuntu (provided VM) • Database: PostgreSQL (recommended) or MySQL / MongoDB with justification • Web Server: Nginx • Backend: Python (FastAPI/Django), Node.js (Express/Nest), or Java (Spring Boot) • Frontend: React, Vue, or server-rendered pages 5 Milestones and Timeline (January–April) February Milestone 1 [No Credit] (February 13) • Finalize technology stack. • Configure HTTPS with self-signed or CA-issued certificates. • Deploy a skeleton ap...

...Perks, Discounts, rates, admin approval & Ranking) * Our Field Staff participate in the same app one app (Accompanying with patients ) all in one app (IOS and Android ) with task checklists (pickup, hospital visits, discharge, Tours , check in and Check out of hotels , lodges , travelling by cars arrangements etc.) Tech Stack (preferred) * Frontend: React (Web), React Native (Mobile) * Backend: FastAPI (Python) or NestJS (Node.js) * Database: PostgreSQL + Redis * Infra: AWS/Azure/GCP, Dockerized, CI/CD ready * Security: HIPAA-grade, Indian IT Act compliance, encrypted storage, audit logs ( Capture Time stamp,DD/MM/YY with time , Who has modified,or changed) Delivery Expectations * Cloud-native monolithic basic MVP (future-ready for microservices on iteration ) * Documentat...

Build, connect, and run AI-powered apps instantly using Streamlit and FastAPI — a lightweight accelerator for creating AI apps with minimal setup AI App Builder - Agentic Pipeline Architecture Overview This project uses an agentic (LangGraph-inspired) architecture to generate modular applications from user queries. The core pipeline consists of specialized agents for planning, editing, verifying, and assembling code for frontend, backend, and logic modules. the app looks good but i want some modifications basically i want that when user enters it requirements then it will give Refined Requirements: App Requirements Summary App Overview Core Features Technologies User Interface Data Requirements Assumptions like this which we can edit according to our need or if we are ok with ...

...an existing Business account. Reliability comes first; every outbound message needs an acknowledgement callback and every inbound message should be captured in a local SQLite or PostgreSQL table for later reporting. Scope highlights • Clean Python 3.x code that wraps the official WhatsApp Business Cloud API (or another compliant gateway if you can justify it) • Simple CLI or minimal Flask/FastAPI endpoint to trigger messages with parameters: recipient, template/body, media (optional) • Webhook listener that records incoming messages, delivery receipts, and errors to the database and writes them to a rotating log • Easy-to-edit config file for credentials and rate-limit settings • , deployment script, and a concise README so I can reproduce the ...

...Results have to work equally well in Hungarian and English; huspacy, spaCy, and Open AI are the preferred tools for language handling and any fallback generation. I expect the codebase in Python 3.10+, organised as two deployable units: • ETL package that connects to the existing tables, performs the vector and category enrichment, and writes into PostgreSQL/pgvector with idempotent reruns. • FastAPI microservice offering endpoints for single-query search and batch queries, with Docker files and a short README explaining environment variables and health checks. Acceptance will be based on end-to-end tests: I run the ETL, hit /search with a Hungarian and an English query, and receive ranked results that include both BM25 and vector hits blended by RRF. Detaled RFQ ...

...(S3-like) with folders Time tracking per task Dependencies (Task A blocks Task B) Gantt view Public share links (view-only) Google Calendar integration Mobile apps (later) Platform + Tech Preferences I’m open to your recommendation, but I want a stack that’s maintainable and scalable. Preferred options: Frontend: React () or equivalent modern framework Backend: Node.js (Nest/Express) or Python (FastAPI) DB: Postgres Real-time: WebSockets (or Firebase-style real-time) Auth: JWT/session-based Hosting: Vercel + Render/Fly/AWS (or your suggestion) If you propose a different stack, include reasons....

...pipelines that analyze recorded conversations (speech → text → structured insights) LLM-based systems for summarization, classification, objection detection, and recommendations RAG pipelines with embeddings, vector search, reranking, and evaluation Scalable FastAPI microservices for AI inference Cost-efficient and low-latency LLM workflows Production-ready systems with monitoring, evals, and performance optimization -Required Experience We are only looking for candidates with real production AI experience, including: Python + FastAPI LLM APIs (OpenAI / Claude / Gemini) RAG pipelines (embeddings, vector DBs, retrieval optimization) Experience shipping AI systems to production Handling hallucinations, evaluation frameworks, and cost optimization Designing scalabl...

...internal use Structured data extraction from technical documents API integrations between AI services and internal tools Deployment of production-ready AI workflows This is not a research role. You will build tools people actually use daily. Core Responsibilities Architect AI workflows using LLMs Design structured prompt systems (reliable outputs, not chat toys) Build backend services (FastAPI / Python preferred) Create data pipelines between AI and business systems Integrate APIs, webhooks, and automation platforms Develop internal AI tools for operational teams Ensure system reliability, version control, and maintainability Required Skills Experience building production LLM applications Strong Python backend development API integration experience (REST, webhooks...

...receives tidy, predictable JSON keys and values. • Basic but rock-solid validation: file type, size, and any other quick checks you normally wire in to keep the service safe. • Sensible error handling—clear status codes and helpful messages. • Simple user authentication so only authorised callers can hit the upload endpoint (token-based is fine). Tech stack is flexible between Python/FastAPI and Node.js/Express; FastAPI is my default choice because of its built-in docs and async flow, but feel free to pitch Express if that’s your home turf. Deliverable: a small repo I can run with Docker-Compose or a straightforward README, plus any environment variables I’ll need for Gemini credentials. A tiny test script or Postman/Insomnia collection s...

I’m building a full-stack trading suite that talks directly to th...the chosen data-vendor API. • Strategy builder with parameter persistence, live trade monitoring, and one-click deploy to real or paper accounts. • Back-testing module using the external historical feed, complete with equity curve and trade log export. • Read-me or short video walkthrough so I can install, connect credentials, and start trading. Compiled in any modern language—Python with FastAPI & PyQt, C# with .NET, or another stack you’re comfortable owning—as long as response times meet exchange standards. Once delivered I’ll run a demo on my machine against the supplier’s sandbox and execute a small live order through Kotak; if everything lines up...

Lead AI / Fullstack Engineer — Project "AZIZA" (Voice-to-Voice AI) ​Project Name: AZIZA Format: Project-based / Remote (with access to local GPU clusters) Tech Stack: PersonaPlex (Moshi-based architecture), PyTorch, TensorRT-LLM, FastAPI, WebRTC, Telegram Mini App (TMA). Hardware Location: Uzbekistan & Kazakhstan (TAS-IX), clusters powered by NVIDIA RTX 4090. ​Project Overview ​AZIZA is an innovative multimodal "Speech-to-Speech" (S2S) ecosystem designed to simulate natural human interaction. We are building an AI assistant that seamlessly transitions between roles: an expert tutor (Chemistry, History, Biology), an empathetic companion, and a simultaneous translator. By processing audio tokens directly, the system achieves unprecedented interaction spee...