Vision and Strategy:

1. Conceived the idea for Pillowtalk as a unique blend of AI and dream interpretation, aiming to provide users with meaningful insights into their subconscious.

2. Developed a comprehensive product roadmap, aligning development milestones with business goals to ensure timely and efficient delivery.

3. Identified and prioritised key features for the MVP, ensuring the most valuable aspects were delivered first.

Team Management:

1. Led a team of 3 AI researcher and software developer

2. Facilitated agile processes, including sprint planning, daily stand-ups, and retrospectives, ensuring continuous progress and iteration based on user feedback.

Innovation:

1. Developed a robust API to handle user inputs from the front-end website, triggering BARD, an NLP model, to generate responses based on dream descriptions.

2. Implemented input parameters to filter inappropriate language and irrelevant content, ensuring clean and relevant data processing.

3. Captured key words from user inputs, which were then sent to the NLP model for processing.

4. Utilised NLP techniques to analyse and interpret the key words, generating meaningful and contextually relevant dream interpretations.

5. Designed the API to categorise NLP-generated responses into predefined themes, enhancing the clarity and relevance of dream interpretations.

6. Integrated a thematic categorisation system to structure the responses, providing users with a coherent and organised interpretation.

7. Developed a user-friendly front-end interface to display the categorized responses in an aesthetically pleasing manner.

8. Built a web crawler to scrape over 50,000 articles from lifestyle websites, capturing a diverse range of content for analysis.

9. Evaluated and indexed the scraped content using an affinity score, determining the relevance of each article based on the captured keywords from user inputs.

10. Used the affinity-scored content to provide users with relevant articles and information, enhancing the overall value of the dream interpretations.

11. Integrated the content recommendation system with the front-end, delivering personalised and engaging content to users based on their dream inputs.

12. Implemented advanced filtering mechanisms to ensure that user inputs were appropriate and relevant before processing.

MVP Launch

1. Successfully launched the Minimum Viable Product (MVP) of Pillowtalk, which garnered significant user interest and initial adoption.

2. Conducted extensive user interviews and beta testing to refine the product and ensure it met user needs.