Awais Naeem
I will build custom AI & machine learning solutions.
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This project uses GPT API for mental health counseling by simulating expert opinions from various therapy techniques like CBT, Psychodynamic, and Mindfulness Therapy. Dynamic prompting incorporates topic inputs, few-shot examples, and social determinants of health (SDoH) to generate personalized advice. Counseling responses are evaluated on psychotherapy factors like empathy, engagement, and alliance capacity, ensuring high-quality guidance. This approach combines AI with psychotherapy expertise to deliver tailored mental health support.
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In this project, I developed machine learning models to forecast sales using a variety of algorithms, including Linear Regression, Random Forest Regressor, XGBoost Regressor and LSTM-based reinforcement learning.
Trained and evaluated these models using sales data from 10 retail stores, assessing performance with metrics such as mean squared error, mean absolute error and R2 score.
This analysis helps businesses forecast sales trends and make strategic budget decisions while offering flexibility for further optimization.
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I developed "Path-RAG," an AI-driven framework that enhances the analysis of pathology images for accurate diagnosis and prognosis in cancer treatment.
By combining deep learning and expert-guided knowledge retrieval, Path-RAG identifies key image regions and improves question-answering accuracy in medical datasets.
This innovation bridges the gap between machine intelligence and human expertise, offering better support for medical decision-making.
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Developed an AI powered virtual influencer platform that enables brands to generate high-quality influencer content without traditional photoshoots.
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