Aishwarya BavIRISETTY

Proven achiever with experience at Company, where I honed cross-functional and communication skills. Excelled in hands-on training, mastering industry-specific tools and enhancing team project success. Demonstrated commitment through continuous skill improvement and adherence to safety protocols, significantly contributing to a high-quality work environment. Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm.

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Project Title: Identifying Fake Profiles Using Artificial Neural Networks

• Background : Explain the prevalence of fake profiles on social media, dating sites, and other platforms.
• Objective : To develop an ANN model that can effectively classify profiles as genuine or fake.
• Existing Methods : Summarize current techniques for detecting fake profiles, including rule-based systems and traditional machine learning models.
• Data Sources : Identify platforms from which you'll gather data
• Data Features : Outline relevant features
• Data Cleaning : Handling missing values, duplicates, etc.
• Neural Network Architecture : Choose an appropriate architecture
• Training Process : Explain how the model will be trained using a labeled dataset (real vs. fake)
• Loss Function : Specify the loss function used
• Validation Techniques : Describe methods like k-fold cross-validation to ensure robustness.
• Limitations : Address potential biases in data and any limitations of your model.
• Future Work : Suggest areas for further research or improvements
• Programming Language : Python

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