{"id":27158827,"url":"https://github.com/prajakta1321/authencheck","last_synced_at":"2026-04-05T23:05:00.240Z","repository":{"id":275283972,"uuid":"925642318","full_name":"prajakta1321/AuthenCheck","owner":"prajakta1321","description":"Amdocs Gen AI Graduate Hackathon 2024-25- A  comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media","archived":false,"fork":false,"pushed_at":"2025-02-02T12:28:19.000Z","size":3530,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-08T22:38:58.520Z","etag":null,"topics":["api","bert-fine-tuning","flask-application","matplotlib","ngrok-server","nlp","nlp-machine-learning","numpy","pandas","python3","scikit-learn","seaborn","wandb"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/prajakta1321.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-01T11:29:21.000Z","updated_at":"2025-02-02T12:28:23.000Z","dependencies_parsed_at":"2025-02-01T12:38:47.135Z","dependency_job_id":null,"html_url":"https://github.com/prajakta1321/AuthenCheck","commit_stats":null,"previous_names":["prajakta1321/authencheck"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/prajakta1321/AuthenCheck","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prajakta1321%2FAuthenCheck","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prajakta1321%2FAuthenCheck/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prajakta1321%2FAuthenCheck/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prajakta1321%2FAuthenCheck/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prajakta1321","download_url":"https://codeload.github.com/prajakta1321/AuthenCheck/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prajakta1321%2FAuthenCheck/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263603995,"owners_count":23487222,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["api","bert-fine-tuning","flask-application","matplotlib","ngrok-server","nlp","nlp-machine-learning","numpy","pandas","python3","scikit-learn","seaborn","wandb"],"created_at":"2025-04-08T22:39:01.859Z","updated_at":"2025-12-30T22:17:19.019Z","avatar_url":"https://github.com/prajakta1321.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## AuthenCheck : Advanced Misinformation Detection System\nAmdocs Gen AI Graduate Hackathon 2024-25\n\n🎯 AuthenCheck is a comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media. The system combines Google's Gemini AI, BERT, and traditional ML approaches with real-time news data to provide accurate fact-checking results.\n\n\n✅ Features\n\n- Real-time fact verification using Gemini AI\n\n- Latest News verification through Google News API and BBC RSS feeds\n \n- Historical data analysis using LIAR dataset\n \n- Natural Language Processing (NLP) based text analysis, textblob, lemmatization, NER, context awareness, etc\n \n- Machine Learning models for prediction\n \n- Web interface using Flask and Ngrok\n\n✅ Tech Stack\n\n✔ AI/ML Models:\n\n- Google's Gemini for advanced text analysis and NLP tasks.\n\n- BERT for contextual understanding\n\n- Linear Regression for prediction tasks\n\n\n✔ Data Sources:\n\n- Google News API (Real time)\n\n- BBC News RSS Feed (Resl time)\n\n- LIAR dataset from Kaggle  (Historical data)\n\n\n✔ Backend:\n\n- Flask web framework\n  \n- Ngrok for tunneling\n  \n- Python for data processing\n\n- Scikit-Learn\n  \n- Matplotlib, numpy  and seaborn\n\n✔ NLP Components:\n\n- Text preprocessing\n\n- Textblob, nltk\n\n- Sentiment analysis\n\n- context- awareness phrase\n\n- Named Entity Recognition\n\n- Topic modeling\n\n- Tokenization\n\n- Lemmatization\n\n✅ Results\n\n- Accuracy metrics\n\n- Performance benchmarks\n\n- Comparison with baseline models\n\n✅ Future Improvements\n\n- Enhanced real-time processing\n\n- Additional news sources integration\n\n- Mobile application development\n\n- API endpoint creation\n\n\n✅ Model Monitoring \u0026 Deployment\n\n✔ Weights \u0026 Biases Integration\n\n✔ Flask Web Application\n\n\n✔ Ngrok Tunnel Setup\n\n\n✅ Monitoring \u0026 Evaluation\n\n- Model performance metrics tracked via W\u0026B dashboard\n\n- Real-time API endpoint monitoring\n\n- System resource utilization tracking\n\n- Error logging and alerting\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajakta1321%2Fauthencheck","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprajakta1321%2Fauthencheck","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajakta1321%2Fauthencheck/lists"}