Flask Jobs

I already have a functioning Python script that calculates Basal Metabolic Rate and daily calorie needs using the standard Mifflin-St Jeor equations and the usual activity multipliers. Now I want that logic wrapped in a clean, responsive web interface. The interface must be web-based, not command-line. A simple page with form fields (age, weight, height, gender and, if you prefer, an activity-level dropdown) is all I need for this first version. When the user hits Submit, the page should display: • their BMR in kcal/day • calorie targets for each activity level (sedentary, lightly active, moderately active, very active, extra active) Feel free to use Flask, Django or FastAPI for the backend; plain HTML/CSS or a lightweight framework like Bootstrap will work for the front end...

I’m building a simple prototype for an AI-powered math learning tool called Cognify. The goal is a small web app where students paste a calculus question and receive a conceptual explanation generated by an AI API. Interface: • ChatGPT-style interface • Dark theme • Minimal full-screen chat layout • Collapsible sidebar for chat history • Math equations rendered using KaTeX or MathJax Functionality: • User types a math question • Backend sends the question to Gemini 2.0 Flash API • AI returns a conceptual explanation (not just the final answer) • Response appears in the chat interface with proper math rendering Tech stack: Frontend: React Backend: Python Flask or Node.js (developer’s choice) AI API: Gemini 2.0 Flash Deliverables:...

The goal is to build a lightweight yet reliable tool that measures and compares the delivery latency of live football data coming from four feeds: betradar, runningball, genius, and IMG. I need a unified service that pings those endpoints in real-time, time-stamps every update, and highlights any delay between them. Core workflow • Open a WebSocket or polling connection to each feed. • Record the exact arrival time of every odds or event message (sub-second precision). • Store raw packets and timing metadata in a fast store (Redis, InfluxDB, or similar—open to your suggestion). • Present latency gaps on a simple dashboard: table view, sortable columns, and a live chart that auto-refreshes. • Trigger an alert (Slack or email) whenever any...

I am putting together a compact SIEM written in Python with a Flask front-end that ingests log files, spots brute-force behaviour and raises alerts in real time. The collector must read three streams—system, application and network logs—parse them efficiently and normalise the relevant fields so the detection logic can run smoothly. The correlation engine should recognise the three classic brute-force patterns I care about: password guessing, credential stuffing and dictionary attacks. Feel free to implement any proven techniques—sliding-window counters, IP and username reputation tables or threshold-based heuristics—so long as they remain fast and clear to audit. Whenever a rule fires I need three parallel notifications: an email, an SMS and an on-screen alert in...

We are seeking an experienced AWS DevOps engineer or specialist team to assist with the deployment, migration, and ongoing infrastructure management of multiple web platforms. This is a serious, ongoing engagement — not a one-off task — and we are looking for a true technical partner, not just a contractor. Project Overview We have four web platforms that need to be consolidated, deployed, and correctly configured on a single, well-organised AWS account. The platforms are primarily built with Python (Flask), and all source code is managed through GitHub. Scope of Work The scope of work includes the following tasks: - Migrate one live platform currently hosted on Hostinger to our existing AWS account, including all application files, databases, and environment configuration. -...

Project Title: TradingView Webhook Bridge for Zerodha/Dhan API Execution Project Description Overview I am seeking a skilled developer to create a server-side application (a "trading bridge") that can receive webhook alerts from TradingView and automatically place trades on my specified broker's platform (Zerodha or Dhan). The application must be robust, secure, and ensure reliable, fast execution. Project Scope and Key Features 1. Webhook Listener Module The core of the project is a service that can: Receive Webhooks: Act as an HTTP endpoint to receive JSON-formatted webhook messages sent from TradingView. Parse Message: Extract key trading parameters from the received JSON payload, such as ticker, order_type (buy/sell), quantity, price (if a limit order), and product_type....