Problem statements
Problem statements
Problem statements
@debdut1 month ago
1. Lyzr
Personalized Investment Portfolio Advisor
In the realm of financial advisory, personalization is key to meeting diverse client needs. Individuals vary significantly in their risk tolerance , financial goals , and investment timelines , making a one-size-fits-all approach ineffective. The objective is to develop a Personalized Investment Portfolio Advisor using Lyzr's API , enabling financial institutions or individual advisors to provide tailored investment strategies.
The advisor should analyze inputs such as the client's:
- â Risk tolerance (conservative, moderate, or aggressive)
- â Financial goals (retirement, education, wealth accumulation, etc.)
- â Timeline (short-term, medium-term, or long-term)
- â Current financial standing (income, expenses, savings, debt levels)
- â Market data to align strategies with ongoing trends and opportunities.
Desired Outcomes
The solution should ensure:
- 1. Hyper-personalization by dynamically adjusting strategies based on real-time client inputs and market data.
- 2. Scalability to handle multiple clients without sacrificing quality or accuracy.
- 3. Transparency by explaining the rationale behind each recommendation.
- 4. Automation to reduce manual intervention in generating recommendations.
- 5. Compliance with local financial regulations and ethical practices.
Deliverables for Evaluation
To select the winner, the solution submissions will be assessed based on the following deliverables:
1. Technical Feasibility Report
- · Explanation of how Lyzr's API was utilized to integrate client data, market trends, and risk assessment.
- · Demonstration of the personalization logic.
2. Prototype Demo
- · A working prototype showcasing how the investment strategies are generated, including client input interfaces and strategy dashboards.
- 3. Pitch Presentation: A concise 5-10 minute presentation summarizing:
- · The problem solved.
- · Features of the solution.
- · How it aligns with the buildathon theme.
- 1. Interact with Tweets in real-time - enabling new conversational dynamics.
- 2. Deliver actionable insights - summarizing, researching, or enhancing information on Twitter.
- 3. Create entertaining or productive experiences - providing value beyond simple automation.
- 4. Building on Eliza: Eliza ⣠provides a powerful, modular framework for creating multi agents and Twitter connectors.
- â Idea : Drop a comment on a tweet with a picture of yourself, and the agent generates an instant, AI-powered response.
- â Example : Compliments, jokes, or even a personality analysis based on the picture.
- â Idea : Use an agent that can screenshot a tweet, research its context, and respond with relevant insights or summaries.
- â Example : "What's the background of this thread?" â Agent provides a concise breakdown.
- â Idea : Mimic the tone, style, or perspective of a specific individual or persona on Twitter.
- â Example : "What would Elon Musk say about this tweet?" â Generates an on-brand response in his voice.
- â Idea : Analyze a trending topic and create a viral Twitter thread based on historical patterns and audience preferences.
- â Example : 'Here's a 5-tweet breakdown on AI hype cycles.'
- â Idea : Analyze a claim made in a tweet and provide a fact-checked response with supporting references.
- â Example : "This statistic is actually from a 2019 report by XYZ, and here's the link."
- â Idea : Provide instant sentiment analysis of a conversation or a tweet thread.
- â Example : "Overall, this thread has a positive sentiment with some critical outliers."
- â Idea : Suggest meme captions for images in a tweet or convert text tweets into memes.
- â Example : "Caption this pic: When the team finally agrees to your idea."
- â Idea : Translate complex tweets into simpler language or vice versa.
- â Example : "Here's what this jargon-filled tweet means in plain English."
- 1. Entertainment & Creativity : Meme generators, impersonators, and fun tools for user engagement.
- 2. Knowledge & Research : Fact-checking, sentiment analysis, and content summarization.
- 3. Personal Productivity : Time-saving agents for scheduling tweets, drafting threads, or filtering content.
- 4. Social Good : Tools to counter misinformation, amplify diverse voices, or foster healthy conversations.
- 5. Finance : Agents that provide real-time stock updates, financial news summaries, or personalized investment insights.
- 6. Web3 : Tools that monitor blockchain trends, provide cryptocurrency market analyses.
- â Builders excited by AI Agents and Social media.
- â AI developers with experience in LLMs and conversational agents.
- â Creators passionate about making AI accessible and fun.
- 1. Proposal : Outline your agent idea, category, and key use case.
- 2. Prototype : Include a GitHub link or demo showcasing initial progress.
- 3. Impact : Explain how your agent improves or enhances the Twitter experience.
- 4. Scalability : Describe the potential for your agent to grow and evolve.
- â Cash Prize: Rs. 60,000
- â Study Counseling: Rs. 15,000
- â Admission Scholarship: Rs. 25,000
- â Pre-session student detail form
- â Data validation and storage
- â Profile creation capabilities
- â Human-like avatar
- â Voice and text input options
- â Natural language processing
- â Real-time response generation
- â Context-aware conversations
- â Program recommendation engine
- â Add new programs with eligibility criteria
- â Edit existing program details
- â Program deactivation/deletion
- â Bulk upload capabilities
- â Session tracking
- â Conversion metrics
- â Student engagement analytics
- â Query pattern analysis
- â University program database
2. Sentient
Request for Agents (RFA): Building "Truth Terminal" Inspired AI Agents for Twitter Using Eliza
We're launching Request for Agents (RFA) to create Twitter-centric AI agents using the Eliza library.
Turn Twitter into an interactive playground for AI-powered interactions, insights, and creative experiences across multiple categories.
If you're passionate about building AI tools, leveraging Twitter's rich ecosystem, and using cutting-edge technology, this is your call to action . Below, you'll find inspiration for potential agent categories and functionality.
What We're Looking For
Agents that can:
Example Agent Use Cases
1. Picture Perfect Agent
2. Screenshot + Research Agent
3. Impersonation Agent
4. Viral Thread Generator
5. Fact-Checker Agent
6. Sentiment Analyzer
7. Meme Creator
8. Context Bridge
Categories for RFA Submissions
Who Should Apply?
Submission Guidelines
3.
Glovera.in Video Bot Challenge
Bounty Details
ð° Total Prize: Rs. 1,00,000
Challenge Overview

Create an AI-powered video bot that revolutionizes student counseling for international education by providing human-like interactions and personalized guidance.