Rakathon 2023

1. Personalised Customer Experiences :

• How can we tailor the customer experience in e-commerce by generating personalised product recommendations or providing real-time, context-aware customer support interactions?

2. Personalised Marketing Content Generation:

• How about creating gen AI systems that generate personalised marketing content, such as email campaigns, advertisements, and social media posts, tailored to individual customers ?

3. Visual Search and Product Discovery:

• How can we develop generative AI system that enable visual search, allowing customers to find products by uploading images rather than using text-based queries ?

4. Financial Product and Service Innovation Challenge:

• How can we drive the creation of new financial products and services, such as generating personalized investment strategies, automating insurance claim processing, or assisting in the design of innovative lending products for small businesses?

1. Privacy-Preserving Data Sharing Challenge:

• How can we develop a framework that simultaneously facilitates secure data sharing among organizations, enabling valuable insights extraction, while preserving the privacy of the individuals involved?

2. Fraud Pattern Generation Challenge:

• How can we create realistic, synthetic financial transaction data for the purpose of better understanding, detecting, and preventing fraud patterns and financial crimes in fintech?

3. Robust Adversarial Defense Challenge:

• How can we construct robust defenses against adversarial attacks on AI systems, such as adversarial examples or data poisoning, to ensure the reliability, robustness, and privacy of AI models and sensitive data?

4. Differential Privacy Challenge:

• How can we effectively incorporate differential privacy techniques into AI algorithms to protect individual privacy, while still maintaining the capacity to derive useful insights from large-scale datasets?

1. Predictive Network Quality Analysis:

• How about building AI models that predict potential network quality issues in specific areas based on historical data. Providing this information to potential customers can enhance transparency and attract those who prioritize network performance ?

2. Visual Storytelling for R.Mobile Brand Promotion:

• How about creating AI systems that can generate compelling visual content, such as images or short videos, that tell a story about the brand or its products. This theme can improve brand awareness and attract potential customers through captivating visual narratives.

3. Personalized Onboarding Experiences:

• How about developing AI-driven onboarding experiences for new customers, guiding them through the setup process and introducing them to key features in a personalized and engaging way