Streamlit Jobs

Description I am building a research-driven job market analytics system (US market). This is not just a development project — it requires designing, executing, and evaluating data science experiments. The goal is to analyze job data and produce validated insights, not just build a working pipeline. Scope of Work The project includes: • Data processing of large job datasets (10k–50k+ rows) • Extracting technical skills (Python, SQL, AWS, etc.) from job descriptions • Salary analysis and estimation (validated using official BLS data) • Job demand trend analysis and forecasting • Building an interactive dashboard (Streamlit preferred) • Designing and executing research experiments with clear evaluation metrics Research Requirements (Core o...

PROJECT: Backend Stabilization & Production Hardening (Laravel) IMPORTANT: THIS IS NOT A NEW DEVELOPMENT PROJECT Live system: This project is strictly focused on: • Fixing existing backend logic • Completing partially implemented modules • Improving performance and stability • Preparing the system for production scaling NOT allowed: • No rebuild • No new architecture • No frontend redesign Any proposal suggesting rewriting the system will be rejected. CURRENT SYSTEM The platform is already live and functional. Existing: • Laravel backend (MySQL + Redis) • Payment integration (partially working) • Token system • Admin panel • Frontend completed This is a correction and optimization project, not development from zero...

Description: I am building a research-based job market analytics system (US market) and need an experienced Python/NLP developer to help complete it end-to-end. Scope of Work: The project includes: • Data processing of large job datasets (10k-50k+ rows) • Extracting technical skills (Python, SQL, AWS, etc.) from job descriptions • Salary analysis and estimation (with validation using official BLS data) • Job demand trend analysis and forecasting • Building an interactive dashboard (Streamlit preferred) • Supporting research experiments and evaluation Research Requirements (Very Important): You must work on all 3: 1. Skill Extraction Reliability • Extract skills from job descriptions • Compare multiple methods • Evaluate (precision, recal...

Algo Trading System (TradingView → QuantConnect → IBKR) I need a developer to build a fully automated trading system that executes signals from my custom TradingView indicator directly on IBKR — running 24/7 with zero manual input. System Includes VPS bridge (webhook → QuantConnect) QuantConnect algo (trade execution) Custom dashboard (manage & monitor system) Strategy Flip long/short on every signal (always in market) Multi-timeframe support (5min → Daily) Trade up to 100 stocks Fixed dollar position sizing per stock Key Features Earnings filter (blocks trades + auto-closes before earnings) Fully automated execution Real-time tracking + manual override Dashboard Manage 100 stocks (timeframe + capital per stock) Live positions, P&L, trade logs Status...

* SWEAT SMART – Train Smarter. Eat Better. Stay Fit. Looking for a powerful and modern fitness web app? You’re in the right place! I present *Sweat Smart* – an AI-powered fitness solution designed to deliver smart workout plans and effective diet suggestions in one clean and interactive platform. Why This Project Stands Out: This is not just a basic app – it’s a smart fitness assistant that helps users make better health decisions with ease. * Features You’ll Love: Full Body, Leg & Fat Loss Workout Plans Pre & Post Workout Meal Suggestions Fast, Responsive & Clean User Interface AI-Based Smart Recommendations Beginner-Friendly & Easy to Use Built With Modern Tech: Python | Streamlit | AI Integration Perfect For: • Fitne...

I’m building a camera-based system that runs on an NVIDIA Jetson and, in real time, detects faces and recognises emotions. The entire solution must be coded in Python. For face localisation I’d like a fast deep-learning detector—SSD or YOLO—so the frame rate stays smooth on Jetson hardware. Once a face is found, a TensorFlow model should assign an emotion label (happy, sad, angry, surprised, neutral, etc.) together with its confidence score. The video stream has to overlay these results live, log every reading with a timestamp, and trigger a visual or audible alert whenever negative emotions are detected repeatedly within a short window. A lightweight dashboard served with either Streamlit or Flask will let me: • watch the annotated video feed • view r...

I need a Python application that captures video from a USB webcam on an NVIDIA Jetson board and, in real time, identifies the face on-screen, classifies the emotion with DeepFace, and overlays the label plus confidence percentage on the live feed. The pipeline must sustain smooth performance on the Jetson GPU, so please profile and, where possible, accelerate the face-detection and preprocessing stages (TensorRT, cuDNN-enabled OpenCV, or other proven optimisations are welcome). Every inference event should be written to a log (CSV or lightweight database) with a timestamp, the detected emotion, and its confidence. When the same negative emotion (sad, angry, fearful, disgust) is observed repeatedly over a configurable window, an alert must fire—initially an on-screen banner and a con...