Background

Through AI, technology is making life easier. Machine learning is being used to learn human behavior so that apps can predict what you might want and at what time. Deep learning- the subset of machine learning where neural networks (imitating the process of real neurons in the brain) are providing greater breakthroughs. With machines subjected to the relevant vast amount of data, we now enjoy self-driving vehicles, have hazardous tasks taken over by cyborgs, or predict the progression of our health through just one medical scan. Machine or deep learning can help us live happier, healthier, and more productive lives… if we know how to harness its power.

Project Objective

Do a proposal for ideas on how deep learning can be helping businesses. Do not limit your creativity and imagination to your current line of business. Produce a proposal detailing but not limited to the following:

• Problem statement and background
• Stakeholders who care about this problem
• Survey the players who have tried solving this problem
• Your innovation
• The impacts on the (business) community
• The goal, the criteria for success, and what’s ‘good enough
• Description of the data required-what and where to collect, tools, techniques, or algorithms needed
• Possible barriers/drivers

Proposal Outline

I would like to propose how deep learning can help eSport gaming based on the following main key outline.

1. Using AI (deep learning capabilities) to train esports players
2. Using AI (deep learning capabilities) to capture human emotions and probably generate video footage, while esports players play, as highlights
3. Using AI (deep learning capabilities) to analyze how a player performs and identify its weakness
4. Using AI (deep learning capabilities) to analyze viewerships preferences and suggest related streamers and products.
5. Ultimately, it generates revenue for export companies.
6. Or, pay a recurring premium to enjoy games, pay for the full amount if the player is interested, and offer analytics for a higher premium value.
   1. AI to determine top charts, and favorites (already in the market, no deep learning).
   2. Deep learning: banned users trying to log in, hackers, and bots.
   3. Voice recognition ie: for buying items using voice (similar to SIRI), and language translation for different nationalities (NLP deep learning).
   4. AI (using deep learning) for analyzing players playing styles and identifying weaknesses and areas for improvement. For professionals (free), normal players (paid)