Beckybams / Carbon-Credit-Fraud-Detection-Links
Carbon-Credit-Fraud-Detection uses data analytics and machine learning to identify suspicious transactions in carbon credit markets. It monitors credit issuance, transfer patterns, and project claims to detect anomalies and potential fraud.
☆40Updated 3 months ago
Alternatives and similar repositories for Carbon-Credit-Fraud-Detection-
Users that are interested in Carbon-Credit-Fraud-Detection- are comparing it to the libraries listed below
Sorting:
- Add OTP-based two-factor authentication to a user login system using Flask or Django. Send codes via Twilio or email.☆47Updated 8 months ago
- ☆49Updated 8 months ago
- Based on slope, rainfall, land use, and NDVI data.☆37Updated 8 months ago
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆47Updated 5 months ago
- Implement a facial recognition system that detects and classifies emotions (happy, sad, angry, etc.) in real time using OpenCV and CNNs. …☆48Updated 8 months ago
- Track prices of BTC, ETH, etc., and send alerts when price thresholds are crossed. Implement using CoinGecko API and Python-Telegram-Bot.☆47Updated 8 months ago
- A lightweight expense tracking app with offline support, local storage, and charts. Features category budgeting, monthly summaries, and c…☆43Updated 8 months ago
- 3D modeling (Cesium.js or Blender) showing projected sea level rise on coastal cities.☆38Updated 8 months ago
- Monitor SSH logs to detect brute-force attempts, log offenders, and auto-ban them using iptables or Fail2Ban integration.☆47Updated 8 months ago
- Develop a Streamlit app showing historical and real-time CO₂ emissions by country, sector, and year using data from the World Bank and ED…☆50Updated 8 months ago
- Climate-Sentiment-Analysis-from-Social-Media uses AI and NLP techniques to assess public opinions on climate issues by analyzing posts, c…☆47Updated 2 months ago
- Build a convolutional neural network (CNN) to classify chest X-ray images into pneumonia and normal categories. Train the model using the…☆47Updated 8 months ago
- uild a purposely vulnerable web app that teaches SQL injection, then show how to patch vulnerabilities using ORM and prepared statements.☆40Updated 8 months ago
- Use GPT/Transformer models to extract key environmental risks and mitigations.☆37Updated 8 months ago
- Train regression models to predict yields (e.g., maize or cassava) using rainfall, temperature, and soil pH as features. Use SHAP or LIME…☆48Updated 8 months ago
- This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal loggin…☆51Updated 5 months ago
- Scrape Twitter data using Tweepy, preprocess using NLTK or spaCy, and apply sentiment classification using a pretrained transformer (e.g.…☆35Updated 8 months ago
- ummarize long climate science papers into actionable briefs using NLP.