Streamlit jobs
...implementation, integration, testing, commissioning support and documentation for a pilot project. This is a deliverables-and-acceptance based scope rather than a request for isolated code snippets. The source design identifies a three-tier architecture: Tier 1 deterministic PLC control and safety permissives; Tier 2 Python edge intelligence, communications watchdog and audit pipeline; and Tier 3 Streamlit HMI, protocol configuration and PLC simulation / commissioning functions. The source also identifies TIA Portal hardware configuration, watch/force tables, diagnostic organisation blocks and gateway configuration as deployment requirements. The supplied pilot document should be treated as the current functional design basis, not as evidence that every numerical limit, control ...
...AI-powered tax fraud detection and risk monitoring system. • Led a team and engineered 27 data features and optimized machine learning classification models to enhance anomalous behavior detection. • Achieved 88% accuracy in identifying high-risk taxpayers through advanced predictive modeling. • Developed a scalable analytics pipeline using PySpark for distributed data processing and an interactive Streamlit dashboard with 7 analytical views with KPIs, Tables and Graphs for real-time compliance monitoring. Built an end-to-end ETL data analytics pipeline with 500K+ transaction records for customer purchasing insights. • Preprocessed the dataset, performed an 80/20 train-test split, and conducted EDA and feature engineering. • Designed customer segmentation...
I am looking to license three production-ready, white-label codebases to grow our internal B2B software library. If you already maintain well-tested repositories that meet the outlines below, I’d like to review them and purchase full commercial rights. 1. AI/ML: AI-Powered Early Disease Prediction and Healthcare Assistant Portal (Python, Flask/Streamlit, MySQL/Kaggle dataset). 2. Retail / ERP Module • Built on the MERN stack. • Should cover POS operations, inventory tracking and invoice generation out of the box. 3. Cybersecurity/Cloud: Secure Cloud File Storage System Using Cryptography & OTP Verification (Python or Java, AWS S3/Firebase). Deliverables • Clean, fully documented source code with rights to re-sell or embed in other clie...
...dataset, an initial Logistic Regression model, and a rough Streamlit prototype. I now need a clean, production-ready web application that lets a student enter basic details—academic scores, extracurricular activities, and technical skills—and instantly returns the percentage likelihood that they will be placed. No login or sign-up flow is required; the interface should open straight to the form and result. Here is what is in place so far: • Data: inside /data • Training scripts: and in /src • A pickled baseline model () and a placeholder Streamlit file () You’ll refine or retrain the model with scikit-learn, tidy the codebase, and polish the Streamlit UI so the prediction feels seamless and engaging. Pandas will
...PostgreSQL, Streamlit, Docker, AWS Developed an end-to-end fraud detection pipeline processing financial transaction data using Python, SQL, and PostgreSQL, including data cleaning, exploratory analysis, feature engineering, and class-imbalance handling. Trained and compared Logistic Regression, Random Forest, XGBoost, and Isolation Forest models for supervised fraud classification and unsupervised anomaly detection. Engineered behavioral and transaction-velocity features including transaction frequency, amount deviation, new-device activity, unusual location, and time-based spending patterns. Implemented SHAP-based explainability to identify transaction-level factors contributing to fraud predictions and generated dynamic fraud risk scores. Developed a FastAPI prediction servic...
...end-to-end cloud data platforms on Snowflake, dbt, and Apache Airflow. Proven record of automating client workflows, building self-serve Streamlit apps, scaling dbt pipelines to 600+ clients, and improving query performance by up to 95%. Expert in RBAC, data governance, CI/CD, and Snowpark-driven transformations across AWS and Azure. CORE TECHNICAL SKILLS Cloud /Dataplatforms Snowflake, dbt (Core, Cloud), SnowSQL, Snowpark, Databricks (Lakehouse), AWS, Azure ETL / Orchestration Programming BI & Applications Apache Airflow, Fivetran, Prefect, Snowpipe, Streams & Tasks Python, SQL, PySpark, Stored Procedures, UDFs, Snowpark Python, Pandas, NumPy Tableau, Streamlit (Snowflake Native Apps), Power BI DevOps & CI/CD Governance & Security Databases ...
...auto-trading. Client approves/rejects. Stack for Phase 1: GitHub + Codespaces (free allowance) + Python + SQLite + Streamlit + OpenAI API + Scheduler + GitHub Secrets. Using Codex as agentic engineer. What I will build: 1. Ingest: Weather (Open-Meteo/NOAA), Gov Reports (USDA WASDE/FAO PDF scraper + LLM summary), News RSS, Prices (Yahoo/FRED). Modular for satellite/NDVI later. 2. Core: SQLite schema (raw_data, evidence, scores), ETL, Scoring 0-100 [30% Supply Stress, 25% Demand, 20% News Sentiment, 15% Price Anomaly, 10% Risk], Anomaly detection. 3. Challenge/Risk-check: 2+ source cross-check, contradiction check, low-confidence flag if evidence <3, audit log. 4. Present: Streamlit dashboard—Ranked watchlist (Commodity, Score, Trend, Risk, Evidence Count, Las...
...auto-trading. Client approves/rejects. Stack for Phase 1: GitHub + Codespaces (free allowance) + Python + SQLite + Streamlit + OpenAI API + Scheduler + GitHub Secrets. Using Codex as an agentic engineer. What I will build: 1. Ingest: Weather (Open-Meteo/NOAA), Gov Reports (USDA WASDE/FAO PDF scraper + LLM summary), News RSS, Prices (Yahoo/FRED). Modular for satellite/NDVI later. 2. Core: SQLite schema (raw_data, evidence, scores), ETL, scoring 0-100 [30% supply stress, 25% demand, 20% news sentiment, 15% price anomaly, 10% risk], anomaly detection. 3. Challenge/Risk-check: 2+ source cross-check, contradiction check, low-confidence flag if evidence <3, audit log. 4. Present: Streamlit dashboard—Ranked watchlist (Commodity, Score, Trend, Risk, Evidence Count, ...
...Development GitHub repository Development environment GitHub Codespaces AI programmer OpenAI Codex Language Python Database SQLite initially Backend Python services Dashboard Streamlit or similarly lightweight Python UI Scheduling Python scheduler / cron-style job AI analysis OpenAI API Secrets Environment variables / GitHub secrets Deployment Development cloud environment initially Trading ...
...a realistic residential listings dataset for 6 Indian cities (Indore, Bhopal, Pune, Bangalore, Nagpur, Ujjain), deliberately including missing values, duplicate rows, and data-entry outliers. Cleans and explores the data to understand what actually drives price. Trains and compares two regression models — Linear Regression and Random Forest. Wraps the better-performing model in an interactive Streamlit app so anyone can enter property details and get an instant price estimate. Note on the data: the dataset used here is synthetically generated (see ) rather than scraped, so the project can run fully offline and be reproduced by anyone without needing an API key or a scraped source. The generation logic still encodes realistic relationships (bigger area → higher price, f...
I need a desktop application that helps me research products advertised on Facebook. The tool should: Open Facebook in a browser that I log into. Browse the Facebook feed. Identify posts that meet criteria I specify (for example, sponsored posts or posts with at least 50 comments). Save information from matching posts, such as: Page name Post URL (if available) Comment count Re...available) Comment count Reactions (if available) Images or video links where feasible Export the collected data to Excel or CSV. Include filters such as: Minimum comment count Date found Keywords Run on Windows. The tool should be easy to use and should respect Facebook's terms of service. Preferred technologies: Playwright or Selenium Python or Node.js Simple desktop interface (Electron, Streamlit...
I need an experienced Full Stack AI/ML developer to build a modern, responsive AutoML web application with a professional dashboard. The application should allow users to upload CSV, Excel, and JSON datasets...improvements such as handling missing values, SMOTE, feature selection, and overfitting reduction, and generate downloadable PDF reports, cleaned datasets, and trained models. The project should include secure Firebase authentication, an intuitive dashboard with interactive charts, cloud deployment, and a scalable architecture using Python (Flask/FastAPI), Scikit-learn, Pandas, NumPy, and either Streamlit or React for the frontend. Please apply only if you have prior experience with AI/ML web applications and can share relevant portfolio projects, an estimated timeline, and yo...
a small AI-based university project. The project should be a complete Proof of Concept with clean architecture, modular code, proper documentation, and a professional user interface. The goal is to demonstrate the practical application of artificial intelligence in solving a real-world problem.
...language and get instant, accurate answers Semantic search using vector embeddings — finds relevant info even if exact keywords don't match Reduces hallucinations by grounding responses in the actual document Scalable architecture — can handle single files or large document libraries Tech stack: LangChain / LlamaIndex • OpenAI / Claude API • Vector Database (Pinecone / ChromaDB / FAISS) • Python • [Streamlit / React frontend] Use cases: Perfect for legal document review, customer support knowledge bases, research assistants, internal company wikis, or any business drowning in PDFs that needs fast, reliable answers. I can customize this solution for your specific documents, industry, and use case — from a simple single-file Q&A bot...
...need more power in my searches. I am told by my own ChatGPT research that "this would involve a Python stack and leverage current NLP/LLM tooling (e.g., transformers, LangChain, GPT-4, spaCy), PDF parsing utilities, and APIs such as PubMed, CrossRef, , and YouTube Data API. A vector store (Pinecone, FAISS, or similar) for semantic search plus a lightweight web dashboard or Streamlit front end will keep things user-friendly." Deliverables • Crawling & ingestion pipeline covering all stated sources • Information-extraction module with clearly defined JSON/CSV schema • Automatic literature-review generator with citation linking • Real-time monitoring/alert service (email or Slack) • Web interface for search, filter, and export &bu...
I need a complete, ready-to-run AI system that lets me upload a single-lead or multi-lead ECG image and immediately returns a diagnosis (Normal, Arrhythmia, or Myocardial Infarction) together with a confidence score. The workflow should be wrapped in a clean web interface—Flask or Streamlit are both acceptable, so choose whichever lets you move fastest without compromising clarity. What I expect: • A well-trained deep-learning model, full source code, and a clearly commented training notebook that shows every preprocessing, augmentation, and tuning step. • The curated dataset (or links plus usage licence) you used, with an explanation of its size, class balance, and any cleaning you performed. • The web app code that loads the saved weights, accepts image...
Rapid Build: Python Streamlit B2B Security Audit App with PDF Export (4-6 Hours) Project Description: Overview: We are looking for an experienced Python developer to build a lightweight, single-page B2B cybersecurity assessment tool using Streamlit. The app acts as a lead magnet that assesses a domain's email spoofing vulnerability and allows the user to download an executive, branded PDF report. We have already completed the technical layout, core architecture, and a production-ready script template. Your task is to implement, test, and deliver the functional codebase. This is an urgent task with a strict 4 to 6-hour completion window upon project acceptance. Technical Stack & Requirements: • Frontend UI: Streamlit (v1.30+) • Security Core: checkdma...
...Produce PDF, Excel, and Dashboard reports. • Maintain historical signals. • Backtest the complete strategy. • Send alerts. ________________________________________ 3. Technology Stack Preferred Backend • Python 3.12+ Database • DuckDB or PostgreSQL Data Processing • Pandas • NumPy • Polars (optional) Indicators • TA-Lib • pandas-ta Backtesting • vectorbt • Dashboard • Streamlit Scheduling • APScheduler • Windows Task Scheduler • Cron Reporting • Excel • PDF • HTML Visualization • Plotly Source Control • Git ________________________________________ 4. Data Sources The system should automatically collect and update: Market Data Daily OHLCV Intraday (1 Hour) Bhavc...
...interactive dashboard that lets end-users explore attrition trends by department, role, tenure, performance rating, demographic factors, and any other variables that add insight. Filtering, hover details, drill-downs, and dynamic KPI cards are essential; static charts alone will not meet the brief. Use whichever modern BI stack you are strongest in—Power BI, Tableau, Looker Studio, Plotly Dash, Streamlit, or a similar interactive framework—so long as the final deliverable is shareable with non-technical stakeholders via web link or packaged file. A concise “how to refresh the data” note should accompany the build so I can keep the visuals current as the underlying CSVs are updated. Deliverables • Fully-functional interactive dashboard file or host...
...LangChain) already works smoothly in Streamlit, yet the interface is still the default grey. I’m looking for a designer-developer who can give the app a modern, finance-grade dashboard feel while keeping the project inside the Streamlit ecosystem—this is a personal project, not a corporate deployment. What you’ll tackle • Financial health score display – transform the single number and its sub-metrics into clear, elegant visualisations (e.g. Plotly, Altair, or custom SVG). • User input forms – reorganise and restyle the data-entry sections so they feel intuitive on desktop and mobile. • Overall dashboard layout – craft a cohesive, responsive page structure with clean typography, colour palette, and polished spacing...
I have two related modelling tasks that need to be completed using Streamlit: Long-Term Default Modelling Collections: Ability & Willingness to Pay Modelling You will be provided with a clean historical financial dataset in CSV format. Using this data, you are required to build a complete end-to-end econometric modelling workflow for each task. The solution should incorporate appropriate statistical and econometric techniques, including: Regression analysis Time-series modelling Panel data methods (where applicable) The entire solution must be developed and coded within the Streamlit environment. After the projects are completed and submitted, you will also be required to walk me through the implementation during a Zoom call, explaining the methodology, modelling dec...
...a simple GUI. The tool must let users fill out a questionnaire, feed those answers to an AI routine for summarised reporting, and then present the results through an interactive dashboard. Here are the core features I have in mind: • Questionnaire input • AI-generated reporting • Data visualization via interactive dashboards You’re free to choose the framework—Tkinter, PyQt, Dash, Streamlit or anything similar—as long as it installs easily on Windows and macOS. If the AI component can pull extra context or data from public sources, that would be a welcome bonus, but not essential. Timing is tight; I’d like a first workable version ASAP, ideally within the next day. To keep things straightforward, I’ll supply the existing s...
...organisational wellbeing pilots. It should allow employees to register with consent, receive a personalised chatbot link, complete an AI-assisted wellbeing discovery conversation, be classified into wellbeing/risk categories, trigger admin alerts where needed, and generate de-identified employer reporting. Preferred Stack: Google Forms, Google Sheets, , Google Apps Script where required, Streamlit, Gemini API, Google Cloud Platform, Gmail API, and simple landing page/payment-readiness sections. Ownership: All assets must be created under, or transferred to, the dedicated Citta India Google account. Citta must own all forms, sheets, prompts, automations, source files, deployment access, API setup, reporting templates, website sections, payment-readiness pages, and data. Commer...
...database technologies. Familiarity with Git and software development best practices. Strong analytical, mathematical, and problem-solving skills. Ability to understand technical concepts and translate them into software solutions. Preferred Skills Experience with optimization algorithms or scientific computing. Knowledge of data visualization tools. Exposure to desktop application development (PyQt, Streamlit, Dash, etc.) is an advantage. Experience in engineering software, simulation tools, or computational applications is a plus. Who We're Looking For Passionate about coding and continuous learning. Self-driven with a strong sense of ownership. Curious, innovative, and eager to solve challenging problems. Excellent communication and collaboration skills. Positive attitude ...
I have a hist...Deliverables: • Cleaned, feature-engineered dataset ready for inference • Jupyter or Colab notebook (or well-documented Python scripts) that reproduces preprocessing, modelling, and evaluation • Comparative metrics table highlighting the best performing model by recall and ROC-AUC • Saved model file plus load-and-predict script Bonus (preferred): wrap the chosen model in a lightweight Streamlit or Flask web app so I can upload a CSV row or enter values manually and see the prediction along with the key probability score. Please outline your proposed methodology, libraries (I mainly use pandas, scikit-learn, imbalanced-learn, XGBoost, TensorFlow/Keras) and any additional steps you find valuable. I am ready to start as soon as I select t...
...Proxy provider settings. AI Provider settings (API key, model selection). Speed and randomization intervals. Hashtag Strategy: Option to use the first hashtag or the most frequent hashtag as the primary bucket key. Tech Stack Preferences: Language: Python 3.10+ Browser Automation: Playwright (preferred for speed and modern API) or Selenium. GUI Framework: PyQt6 or Streamlit. Storage: SQLite for tracking Account-Hashtag-Proxy relationships. AI Integration: requests or openai library. Deliverables: Database Schema: Design the SQLite schema for tracking Accounts, Proxies, Hashtag Buckets, and Assignment History. Hashtag Extraction Logic: Python function using Playwright/Selenium to scrape hashtags from a YouTube video description. ...
...Requirement - Self Hosted: Must be hosted on my own server/machine or private URL. Must have user-based login/permissions so only I can access. I need to log in, hit "Run Scan", and export to CSV myself without relying on 2: Scale LaterExpand to US, EU, and other countries with a simple config change. Code needs to be Guidance NeededRecommend best stack. Open to: Python + Streamlit/Django for dashboard, Perplexity API, Apify, Playwright, GPT-4/Claude API for signal detection. Must handle anti-scraping, deduplication, and rate :Fully working self-hosted app with user loginClean, commented code + setup documentation2x 1-hour handover calls to teach me how to run, edit filters, add countries, and manage email enrichment2 weeks bug support after deliveryBudget:
...session, narrate what you’re doing and why—showing the essential commands, environment setup, and any common pitfalls. By the end, I should be able to hit an endpoint from a simple front-end snippet and see generated text flowing back. Deliverables • A recorded screen-share (voice-over included) that walks through the full deployment workflow • The interactive demo itself (Colab, Jupyter, or Streamlit are all fine) with clear, inline comments • A concise README outlining prerequisites and how to rerun or adapt the demo for another model - Use of ai tools for this is encouraged If you rely on specific tooling—transformers, Accelerate, Gradio, or HF CLI—make sure the versions used are noted inside the notebook so I can reproduce r...
1. Project Title () Development of an Automated NGO Darpan Data Extraction, Processing, and Management System Using Python, Selenium, BeautifulSoup, SQLite, and Streamlit ________________________________________ 2. Abstract The NGO Darpan portal is India's central repository for registered Non-Governmental Organizations (NGOs), Voluntary Organizations (VOs), Trusts, Societies, and Section 8 Companies. The portal contains publicly available organizational information including registration details, addresses, office bearers, operational sectors, and contact information. The objective of this project is to develop a Python-based automation system capable of systematically collecting publicly available NGO information after authorized user interaction where
...The core is a Python + Streamlit web app that presents a 10-question multiple-choice quiz on Mathematics (all questions pitched at a medium level). When the user finishes, the app should mark the score instantly and display a simple recommendation: “easy”, “medium”, or “hard” depending on how well they performed. This logic can be rule-based—no heavy machine-learning libraries are necessary. To make the hand-in complete, I’ll need: • the Streamlit source code (.py) • a file that stores the quiz questions, options, correct answers, and difficulty tags • a brief one-page report explaining how the system works and how the recommendation threshold is set If you can turn this around today, let me know rig...
...aviation AI safety project (Vayu Rakshak) being presented to defense officials (Indian Air Force). What we need: • 3D Animation / Cinematic B-Roll: Realistic fighter jets, cockpit views, and high-tech digital/cyber dashboards. • Professional Voiceover: Authoritative, clear English voiceover (Indian or neutral accent). • Video Editing: Smoothly merging the animations, voiceover, and our provided Streamlit dashboard screen recordings. • Motion Graphics: On-screen tech text overlays and full subtitles. • Audio Design: Inspiring, low-volume military-style background music. Deliverables: • Final 5-minute video in Full HD or 4K (MP4 format). • Fast turnaround is required as our review is in a few days. Please share your portfolio with technical,...
...WebSockets (via libraries like , Django Channels, or Streamlit-WebSockets): Quiz Master / Admin Control Panel: A private interface for the host/judges to manage the question bank, trigger countdown timers, control game states, and manually override or approve scores. Live Audience Display: A visually striking, clutter-free view designed to be projected onto an auditorium screen. It must feature live question updates, an animated countdown clock, and a real-time updating 4-House Leaderboard. House Team Interface: A synchronized local portal or interface where the 4 house teams can view active questions on their own devices simultaneously. Technical Expectations: Backend & Sync: Node.js () or Python (Django Channels / Streamlit WebSockets) or to handle bi-directiona...
...1 broken into smaller fixed-price milestones. Main technology preference: • Python • Streamlit dashboard • Microsoft Graph API / Outlook email • OpenAI API • CSV/Markdown outputs • Simple config files • Local Windows setup Important: • Stage 1 is read-only/safe. • Do not send, delete, archive, forward, or attach emails. • Draft replies are okay, but they must only be shown or saved as Markdown files. • No email action should happen automatically. • I want a simple local dashboard, not a complex SaaS app. • I want clear documentation and handover. • I want fixed-price quotes for each minor milestone. Stage 1A — Project setup and dashboard shell Requirements: • Create Python project. • Create loca...
I have a handful of finished Streamlit apps that I want running in the cloud. My first choice is AWS, so please plan for an AWS-hosted solution; if you see clear advantages in also wiring things to Snowflake later, keep that in mind, but the immediate goal is a clean AWS deployment. I’m not familiar with services like EC2, Lambda, or Elastic Beanstalk, so you’ll need to select and configure the option that best fits small-to-medium Streamlit workloads, automate the build and release steps, and make sure basic scaling and logging are in place. A concise hand-off package—source code, infrastructure files, and a README that walks me through redeploying or extending the setup—will let me maintain everything once the project is complete. May need help to ...
...specific prep bowls and detect the "tilting/pouring" action. * Implement a rolling video buffer logic that extracts exactly 3 seconds of video surrounding the detected action trigger. * Build the Edge-to-Cloud pipeline to upload compressed video fragments efficiently to a secure cloud platform (AWS S3, Google Cloud, or Azure). * Build a clean, lightweight frontend interface (using tools like Retool, Streamlit, or a basic React app) for cloud video playback. ## Required Skills * Deep expertise in Computer Vision and Deep Learning (Python, OpenCV, PyTorch/TensorFlow). * Extensive experience with real-time object detection models (YOLO workflow is highly preferred). * Proven track record building multi-camera RTSP video pipelines and handling edge processing hardware (NV...
...anti-overfitting workflow: rolling train/test splits, parameter stability checks and equity-curve validation. 7. Streamlit Dashboard • One-page overview plus drill-downs for data, strategy metrics, risk and live positions. • Simple authentication so I can share the link with collaborators. Acceptance criteria • End-to-end demo on sample equities universe. • All modules callable from a single orchestrator script (Python 3.11 preferred). • Clean, commented code with README and environment.yml. • Unit tests for core functions; ≥80 % coverage. If you have experience stitching together Alpaca or IB data feeds, writing vectorised backtests and deploying Streamlit apps, let’s talk about timelines and milestones—my ...
I am looking for a developer to build a web scraping project with a simple dashboard. I will provide the target scraping links through chat, and the developer will be responsible for extracting the required data, organizing it properly, and displaying it in a clean dashboard. The project should include a reliable scraping system that ...records, and see key information clearly. The final solution should be easy to run, maintain, and update when new scraping links are added. The developer should also provide basic setup instructions and make sure the scraping process works correctly before final delivery. Required Skills: Python, Selenium, Playwright, Flutter, IOS, Mobile App, web scraping, Dashboard development, Flask, FastAPI, Streamlit, PostgreSQL, MySQL, SQLite, or Google Sheets,...
...Smart TV application for our company. The project architecture requires using SolidJS for state management (Reactivity) and LightningJS as the canvas-based renderer. ​The application will communicate with a Streamlit backend, so experience in handling data streams, real-time updates, and API integration between the front-end and the backend is essential. ​Requirements: ​Strong experience with SolidJS (signals, fine-grained reactivity). ​Solid experience in Smart TV development using LightningJS framework/renderer. ​Ability to integrate and connect the front-end smoothly with a Streamlit backend (via APIs / WebSockets). ​Proficiency in JavaScript / TypeScript. ​Deep understanding of memory management and performance optimization for TV hardware. ​Experience or willingness t...
...competitors * Newly detected listings * Price changes over time ### 5. Filters Filter by: * Product * Location * Date * Price range ### 6. Export Export results to: * Excel * CSV ### 7. Alerts (Optional) Notifications when: * A new competitor appears * A competitor lowers their price * A competitor lists a new product ## Preferred Technology * Python * Playwright (preferred) or Selenium * Streamlit (or another simple web dashboard) * SQLite or PostgreSQL * OpenAI API (or equivalent AI model) ## Deliverables * Complete source code * Installation guide * Documentation * * Assistance with initial deployment ## Important The system should only collect publicly available information and should comply with applicable platform terms and applicable laws. ## When Applying...
...sentiment breakdowns that decision-makers can act on. Here’s how I picture the workflow: 1. Ingest raw text through a clean, modular pipeline (API or batch upload is fine). 2. Process the corpus with Python and state-of-the-art NLP libraries—spaCy, HuggingFace Transformers, or similar—so the architecture remains future-proof. 3. Generate clear, exportable outputs: interactive dashboards (Streamlit or Dash are welcome), concise PDF/CSV summaries, and machine-readable JSON for downstream use. Acceptance criteria • End-to-end script or app that runs locally and on a small cloud instance. • Well-commented code, README, and sample dataset to demonstrate each analysis step. • At least three analytical modules (e.g., sentiment, key phrase ...
I am looking for an experienced Python developer to build an AI-powered Investment Intelligence Platform for Indian markets. This is NOT an auto-trading platform. The platform should act as a professional investment research assistant and provide recommendations, rankings, portfolio insights, risk assessments, alerts and daily reports. Technology Stack: - Python - FastAPI - PostgreSQL - Streamlit - OpenAI API - Angel One SmartAPI - TradingView Webhooks - Telegram Bot - Docker Modules Required: 1. Long-Term Investing Engine 2. SIP Recommendation Engine 3. Swing Trading Engine 4. Intraday Trading Engine 5. Commodity Analysis Engine 6. IPO Analysis Engine 7. Portfolio Analysis Engine 8. Risk Management Engine 9. AI Discovery Watchlist Engine 10. Recommendation History Engine 11. A...
...important, so the notebook or script has to generate intuitive plots—scatter trends, residual diagnostics, whatever best tells the story of model quality and feature impact. After modelling, package the chosen estimator in a lightweight Streamlit app where a user can key in property details and instantly see a predicted price. Deliverables • Clean, well-commented Python code (Pandas, NumPy, scikit-learn, Matplotlib / Seaborn, Streamlit) • A concise report explaining preprocessing steps, feature choices, model comparison results, and recommendations • The Streamlit interface ready to run locally (with instructions) • Any supplementary documentation needed to reproduce the full workflow end to end If something in the data suggests a...
...will streamline later iterations. Dashboard Wrap the finished model in a Streamlit app that shows: • an overview KPI panel (current churn rate, predicted next-month churn, model ROC-AUC) • customer-level drill-downs with probability scores and top SHAP drivers • adjustable probability threshold plus CSV download of at-risk accounts Everything should live in a Git repo with clean commit history and a Makefile or so my team can reproduce the environment. Deliverables 1. EDA notebook exploring feedback data 2. Feature-engineering module generating frequency-based predictors 3. Model-training notebook with hyper-parameter search 4. Reusable Python package for batch scoring 5. Streamlit dashboard (responsive, deploy-ready) 6. Explainabil...
I need a simple Streamlit dashboard built in Python that loads data from a numpy .npz file and displays investment analysis charts. The dashboard should run locally with streamlit run app.py. What I need: 5 pages using Streamlit multi-page routing. Each page shows metrics and 2-3 Plotly charts for a different asset. The charts are: IRR probability distribution (histogram/KDE), DSCR by year (bar chart), and a scenario comparison (horizontal bar chart). One sidebar with a scenario dropdown that updates the charts. Tech stack: Python, Streamlit, Plotly, numpy. No database, no authentication, no deployment needed. Desktop only. Data: I will provide a .npz file with pre-computed numpy arrays (IRR distributions, DSCR arrays, scenario values). I will give you the exact...
...theming, shared components) once, reused across modules - Implement the full suite of modules (structure prediction, ligand prep, docking, simulations, QSAR, database, and more), wired to our existing Python prediction/docking logic - Add interaction states (loading, empty, error, validation), a 3D molecular viewer, and basic deployment Must have: - Strong Python - Hands-on Gradio experience (or Streamlit, with willingness to work in Gradio) - Comfort with custom CSS/theming within Gradio - A sample of a data-dense or technical UI you've built Nice to have: - Any cheminformatics, scientific, or healthcare software exposure - Experience with or molecular visualization How we'll work: - A small paid trial (one screen) first, then milestone-based delivery for the full ...
...historical backtests on minute-level data to validate tweaks before they go live, outputting metrics like win rate, drawdown, and expectancy I value readable, modular code (separate data, logic, execution, and reporting layers) and clear in-line comments so I can extend the system later. Preference for standard libraries plus proven packages such as pandas, numpy, TA-Lib (if helpful), and FastAPI or Streamlit for the monitoring front end—though I’m open to your suggestions. Deliverables will be: 1. Fully commented Python source files and 2. A backtesting notebook or script with sample results 3. Setup instructions to run everything on my local machine or a VPS 4. A brief hand-off session (video or chat) to walk me through deployment and daily use If you&rs...
I have a raw set of patient records a...and normalise numeric or categorical values so every observation is model-ready. • Feature selection & training: experiment with at least Random Forest and Logistic Regression; pick the best model using accuracy, precision and recall. • Evaluation report: include confusion matrices and a short note explaining why the chosen model performs best. • Lightweight dashboard: a simple Flask or Streamlit interface with one free-text field for symptoms and a results pane listing the suggested medicines. • Clean, well-commented code plus a README describing setup, usage and how to extend the model with medical history or allergy data later. Everything should run end-to-end on my local machine with clear install instructi...
