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Arosys Technologies Pvt Ltd
LANCERProject Description
Arosys Technologies, a data-driven enterprise, focused on maintaining reliable customer records, approached Oodles to improve data integrity by filtering spam and fraudulent entries. The client required an AI-powered tool that could analyze patterns in real time, reduce manual intervention, and enhance trust in their operational data.
Scope Of Work
The client sought Oodles for addressing inaccurate and spam data records that disrupted business workflows. The required a centralized system capable of detecting anomalies, eliminating duplicates, and preventing spam entries from impacting decision-making. The scope included data collection, preprocessing, model training, evaluation, and seamless deployment within their existing infrastructure.
Our Solution
The engagement delivered an AI-powered spam detection solution designed with flexibility, accuracy, and scalability in mind.
Key Features & Implementation:
- Data Collection & Preprocessing: Gathered diverse datasets and applied NLP techniques.
- Machine Learning Models: Experimented with supervised classifiers and deep learning approaches to maximize accuracy.
- Model Training & Evaluation: Trained models on curated datasets, validated with metrics.
- Deployment & Monitoring: Integrated the optimized model into the client’s existing workflows.
- Adaptability: Established a retraining pipeline to evolve with new spam tactics while maintaining high accuracy.
- Privacy & Security: Enforced strong data protection measures to safeguard sensitive client information.