Create uniques NFTs using Deep learning Techniques.

Developed a chatbot using LSTM and BiLSTM models to achieve exceptional results in entity detection. Designed and implemented a client-oriented conversational and rule-based chatbot prototype that surpassed expectations and met precise requirements for the in-house project.

Developed an OCR-based system aimed at automating the extraction of references from office actions (OAs) for improved efficiency and accuracy. This in-house project facilitated the final review of references and automated the submission process on EFS Web assisting clients in eliminating Request for Continued Examination (RCE) due to late reference discovery and ensuring timely completion of formalities before receiving the Notice of Allowance (NOA).

Implemented the UGATIT model an unsupervised image-to-image translation technique to develop a human-to-anime image translation system for a Metaverse product. The project aimed to seamlessly transform human images in to anime-style representations while preserving key features and details.