Suggested Tracks for Ideation

Hello Future Changemakers! 🌟

As your course instructors, we couldn't be more excited to lead you through the multiple impactful pathways you can venture into for your final projects. So, let's get those creative juices flowing and build something transformative! πŸš€

Make sure to have fun, think of impact creation, and adhere to the criteria for completing the bootcamp (listed here).

A Quick Note πŸ“

Below-mentioned tracks/ideas are NOT constraints but guiding points, helping you look in multiple directions. For each project, you must try to:

  • Choose an engaging title that sparks curiosity.

  • Identify your end-user and the impacted industry. It's okay to solve a precise pain point instead of trying to solve everything for everyone.

  • Feature a user story to give life to your idea.

  • Specify the business impact your project will have.

  • Show how your project leverages the power of Realtime LLMs using Pathway.

  • Include a working video demo.

  • And include all of this in the README. :)

If you're keen to explore ideas beyond what we've listed here, feel free to do so – we're excited to see where your creativity leads you! To support you on this journey, we've included a few extra resources below. Go ahead and delve into them; we're here to cheer you on every step of the way!! πŸ˜„


A few possible problems to solve with your LLM App

1. Crisis Navigator 🚨

  • Objective: Develop a system utilizing the LLM App's real-time capabilities to improve emergency responses, potentially saving lives and properties by integrating live weather, news updates, and other critical data for dynamic action plans.

  • Example Output: A dynamic evacuation planning system that leverages real-time weather and news feeds to offer actionable alerts and guidance during emergencies.

2. Mental Health Companion 🧠

  • Objective: Create a basic RAG application focused on mental health consultation that respects user privacy, avoiding the realm of direct medical advice but offering support and companionship, including PII detection (via any pre-trained model available) to ensure only non-sensitive information is processed.

  • Example Output: A privacy-aware chatbot that offers emotional support and stress-relief exercises, carefully filtering out personally identifiable information before processing. The privacy preservation element and proper prompting in such use cases can go a long way.

3. Influencer Insight Aggregator 🌟

  • Objective: Build a RAG tool that imitates and summarizes the learnings and Twitter feeds of popular influencers, making their wisdom and insights more accessible to a wider audience.

  • Example Output: An Almanac of Naval Ravikant-like generator for thought leaders, providing summarized insights and key learnings from figures like Andrew Chen, and Michael Seibel, or even your local MLA :) – but tailored to the reader's comfort level.

4. Local Event Highlighter 🎭

  • Objective: Develop a RAG application that scrapes and presents information on local events in a city with an engaging tone, possibly utilizing the local language or dialects to enhance relevance and usefulness.

  • Example Output: An app that lists local events with captivating descriptions, personalized recommendations, and information presented in the local dialect, fostering community participation.

5. UPSC Current Affairs Interpreter πŸ“°

  • Objective: Assist civil services or exam aspirants by using RAG to interpret and relate various perspectives on recent events, leveraging news API data to connect current happenings with historical context.

  • Example Output: A tool that delivers customized briefs on current events, offering multiple perspectives and their historical significance, tailored for UPSC preparation.

6. Sustainable Travel Planner 🌱

  • Objective: Merge RAG with environmental impact data to suggest the most eco-friendly travel options using real-time information on carbon emissions, public transportation, and alternative routes.

  • Example Output: An application calculating travel options' carbon footprints, recommending the most sustainable choices based on real-time data.

7. Smart Diet Planner 🍏

  • Objective: Create an application that suggests personalized meal plans and recipes, analyzing real-time data on dietary preferences, nutritional needs, local seasonal ingredients, and user's likes and dislikes.

  • Example Output: An app that recommends meal plans and recipes tailored to dietary goals and what’s seasonally available, promoting healthier eating habits.

8. Database Cleaner 🧹

  • Objective: Implement a simple RAG that connects to databases collecting names and emails, and cleans up the data for marketing purposes by standardizing names and ensuring correct capitalization.

  • Example Output: A marketing tool that cleans and organizes contact lists, ensuring names are correctly formatted and capitalized, ready for campaigns. Even such a small but focused tool can be immensely helpful for a large audience.

9. Dating Helper πŸ’•

  • Objective: Design an application that leverages LLMs to enrich the dating experience by highlighting users' genuine interests and facilitating meaningful connections. Instead of altering personalities, the app focuses on enhancing users' self-presentation through tips and creative suggestions based on contextual information such as shared classes, PDFs in a folder (for shared reading interests), or real-time local events. Interestingly enough, the CEO of Bumble hinted something on these lines (news link).

  • Example Output: An app that, after matching, suggests conversation starters or date ideas based on mutual interests or upcoming events, like a local concert or an art exhibition both users might enjoy.

10. AI Receptionist for Non-CSE Practitioners πŸ—£οΈ

  • Objective: Implement a human-like AI receptionist that utilizes RAG to understand and respond based on a SaaS platform's specifics or a practitioner's services. This system aims to improve customer interaction by providing immediate, relevant information, and enhancing user experience and operational efficiency.

  • Example Output: A virtual receptionist can help patients understand a doctor's services, schedule appointments, and provide preliminary information based on frequently asked questions uploaded by the doctor.

11. Research Paper Summarizer πŸ“š

  • Objective: Develop a RAG application that retrieves the latest research papers in a specified domain via arXiv, and summarizes them in an easy-to-understand manner, tailored to the user's current knowledge level which can be asked as a user input. This tool aids in keeping up with technological advancements without overwhelming details.

  • Example Output: A weekly digest app that selects five recent research papers in the user's area of interest, provides summaries that match the user's understanding level, and highlights key findings and implications.

12. Competitive Programming Coach πŸ†

  • Objective: Create an app that retrieves the latest problem statements from competitive programming platforms like CodeChef, Codeforces, or SPOJ. Using RAG, it attempts to explain solutions in a simplified manner, possibly leveraging specialized LLMs known for their coding task performance. It can also do for the latest questions by companies which may be uploaded on popular platforms that you already know of.

  • Example Output: A learning tool for competitive programming that offers easy-to-understand explanations of problem statements and solutions, tagged by difficulty and topic, to improve coding skills and problem-solving strategies.

13. Market Intelligence Assistant πŸ”

  • Objective: Design an AI that analyzes GitHub repositories of competitors or product reviews, identifying areas of frequent problems or criticism. This information helps businesses understand where they can improve or innovate to gain an edge.

  • Example Output: An analysis tool that scans through GitHub repositories and product review sites to generate reports on common issues with competitors’ products, suggesting potential areas for differentiation or improvement.

14. Minorities Support Navigator 🌈

  • Objective: Develop a tool that tracks events and support groups for minority communities, including LGBTQ+, by scraping event information and processing location data. It aims to connect individuals with relevant events and support groups nearby, providing details and navigation options.

  • Example Output: An app that informs users of nearby events supporting minority causes or groups, offering descriptions, timings, and guidance on how to get there, encouraging participation and community support.


Encouragement for Innovation! 🌟

  • Open Innovation: Your canvas is blank. Show us your creativity using real-time data and Large Language Models.

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