- Developed a voice AI assistant system using LangChain to handle patient inquiries, schedule appointments, and provide information in Persian. I integrated OpenAI's GPT-4o model for natural language understanding and generation. I Utilized aipa Text-to-Speech API and Whisper ASR for seamless voice interactions.- Fine-tuned a DistilBERT model from Hugging Face Transformers to classify patient queries and recommend appropriate treatments.- Implemented a sequence classification model to… Show more - Developed a voice AI assistant system using LangChain to handle patient inquiries, schedule appointments, and provide information in Persian. I integrated OpenAI's GPT-4o model for natural language understanding and generation. I Utilized aipa Text-to-Speech API and Whisper ASR for seamless voice interactions.- Fine-tuned a DistilBERT model from Hugging Face Transformers to classify patient queries and recommend appropriate treatments.- Implemented a sequence classification model to accurately identify dental issues based on textual descriptions.- Built a robust system to automatically detect and flag inappropriate content on the Football360 platform.I leveraged rule-based and machine learning techniques to ensure a safe and positive user experience.- Implemented a sentiment analysis model using ParsBERT to classify Persian customer reviews as positive or negative. Show less

- Developed a model to detect the age and gender of influencers’ followers based on their profile image and find the interests of followers of an influencer based on their interaction with his/her posts.

- Developed a tooth segmentation model using Ultralytics YOLOv8 to accurately isolate teeth in X-ray and RGB images.- Implemented a dental cavity detection model using YOLOv8 and image segmentation techniques to identify dental cavities. I also implemented a teeth numbering model using heuristic algorithm. I Utilized Real-ESRGAN to enhance the resolution of low-quality X-ray images.- Created a Siamese Network to compare the similarity of X-ray images based on facial features and jaw… Show more - Developed a tooth segmentation model using Ultralytics YOLOv8 to accurately isolate teeth in X-ray and RGB images.- Implemented a dental cavity detection model using YOLOv8 and image segmentation techniques to identify dental cavities. I also implemented a teeth numbering model using heuristic algorithm. I Utilized Real-ESRGAN to enhance the resolution of low-quality X-ray images.- Created a Siamese Network to compare the similarity of X-ray images based on facial features and jaw detection.- Developed a teeth whitening algorithm using OpenCV and color space analysis to enhance the appearance of teeth in images. Show less

• Studied deep learning architectures in detail including CNNs (AlexNet, VggNet, ResNet, GoogleNet, RCNN, Fast RCNN, Faster RCNN, Mask RCNN, YOLO ,SSD), RNNs (RNTN, LSTM, GRU), GAN, Autoencoder (VAE), CapsuleNet, RBM, DBN, and deep reinforcement learning.• Investigated NLP such as Word2Vec and Glove embedding, all attention mechanisms, memory networks, transformer, and transfer learning models in NLP (XLNet, BERT, OpenAI GPT, GPT2, ELMo).• Achieved In-depth knowledge of question… Show more • Studied deep learning architectures in detail including CNNs (AlexNet, VggNet, ResNet, GoogleNet, RCNN, Fast RCNN, Faster RCNN, Mask RCNN, YOLO ,SSD), RNNs (RNTN, LSTM, GRU), GAN, Autoencoder (VAE), CapsuleNet, RBM, DBN, and deep reinforcement learning.• Investigated NLP such as Word2Vec and Glove embedding, all attention mechanisms, memory networks, transformer, and transfer learning models in NLP (XLNet, BERT, OpenAI GPT, GPT2, ELMo).• Achieved In-depth knowledge of question answering models (DCN+, biDAF, MQAN, AoA, DrQA, QRN, ReasoNet, Rnet, ElimiNet, CFC, ...) Show less