Inspiration
We were inspired by the rising number of online job scams and deepfake-based recruitment frauds affecting vulnerable job seekers.
What it does
The system detects fake job alerts, verifies recruiter authenticity, and raises awareness to protect job seekers.
How we built it
We combined NLP, deep learning, and deepfake detection models into a real-time monitoring and alert system.
Challenges we ran into
We faced issues with realistic deepfakes, limited datasets, false positives, and ensuring multilingual support.
Accomplishments that we're proud of
We created a comprehensive AI solution that addresses both text- and video-based scams while increasing public awareness.
What we learned
We learned how to integrate AI, NLP, and cybersecurity principles into a socially impactful, real-world project.
What's next for Fake Job Alert Detection System for Public Awareness and Safety
We aim to expand it with multilingual support, mobile app integration, blockchain-based recruiter verification, and voice deepfake detection.
Built With
- amazon-web-services
- deepfake-detection-apis
- github
- github-cloud-services:-aws-/-google-cloud-for-model-training-&-deployment-databases:-mysql-/-mongodb-for-storing-job-postings-and-scam-reports-apis:-kaggle-api-(datasets)
- google-cloud
- google-colab
- javascript
- javascript-(for-ui)
- jupyter-notebook
- mongodb
- mysql
- nltk-/-spacy
- nltk-/-spacy-(nlp)
- numpy
- opencv
- opencv-(image/video-processing)-platforms:-jupyter-notebook
- pandas
- python
- scikit-learn
- social-media-monitoring-apis-(optional)-tools:-scikit-learn
- sql
- sql-(for-data-handling)-frameworks-&-libraries:-tensorflow-/-pytorch-(deep-learning)
- tensorflow-/-pytorch
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