Talha Asif@TalhaAsif

This project is an AI-powered Multi-Agent Research and Opportunity Matching System designed to connect students, researchers, and startup founders with the most relevant opportunities worldwide. Instead of spending hours browsing different platforms for scholarships, grants, or startup funding, the system automates the entire process through multi-agent collaboration and intelligent data matching. It collects fresh information from trusted websites using web scraping, structures the data into clean formats, and matches it to user profiles based on academic background, research interests, or startup goals. The system has specialized AI agents with distinct focus areas. The Research Agent helps students by matching them with scholarships, fellowships, and exchange programs that fit their CGPA, degree level, and financial needs. The Innovation Agent supports researchers by identifying grants, collaborations, and fellowships aligned with their domains and project ambitions. The Startup Agent caters to founders and entrepreneurs, connecting them with startup grants, accelerators, and funding opportunities suited to their business domain and stage. It also employs natural language processing with LLaMA models, which explain opportunities in clear, student-friendly terms. A responsive interface built with Streamlit ensures smooth interaction, allowing users to explore personalized recommendations presented with match scores and reasoning on why each opportunity is a good fit. By combining automation, AI-powered matching, and multi-agent collaboration, this system offers a scalable solution that democratizes access to global opportunities. It empowers students to reduce financial burdens, researchers to accelerate innovation, and founders to access funding networks through a single intelligent gateway.

MindTrack AI is an AI-powered mental health companion designed to help users track their emotions, reflect on their thoughts, and receive supportive guidance in a safe, non-judgmental environment. Many people struggle with stress, anxiety, loneliness, or relationship challenges, but hesitate to share their feelings with friends or family. MindTrack AI addresses this by providing a personal journaling and chatbot experience that is always available. Users can log daily entries about their mood, thoughts, and experiences. These entries are analyzed using NLP and sentiment analysis via the GPT-5 API to understand emotional patterns over time. The dashboard displays trends and insights, helping users identify patterns, triggers, and improvements in their mental health. The platform also includes an AI-powered chatbot that acts as a supportive therapist. The chatbot references past and current entries to engage in meaningful conversations, offering empathetic guidance without judgment. MindTrack AI emphasizes privacy, accessibility, and ease of use. It provides users with a structured way to reflect on their mental health while encouraging healthy habits of self-awareness. MindTrack AI empowers users to understand their emotions, track progress, and take care of their mental well-being, making mental health support accessible for everyone.

QuantAlpha - Conductor Track QuantAlpha is an AI-powered portfolio manager that dynamically allocates investments based on real-time news, earnings calls, and financial reports, offering clear, explainable insights behind every decision. Problem Statement: Retail investors and small-scale traders are increasingly seeking real-time, intelligent guidance, but they often lack access to the advanced tools and insights used by institutional portfolio managers. While professionals rely on earnings calls, 10-K filings, and macro news to drive allocation decisions, retail users face noisy data, fragmented platforms, and complex tools. This gap results in suboptimal decisions and missed opportunities, highlighting the need for an accessible, explainable AI system that can interpret market signals and deliver dynamic, data-driven portfolio strategies. QuantAlpha solves this by building an AI-powered portfolio manager that ingests real-time financial information and allocates assets dynamically. It explains each allocation decision clearly, helping users build confidence in their investments. The system serves as a 24/7 assistant, always watching the markets and making proactive, explainable portfolio adjustments. Primary Customer/User: Self-directed investors manage personal portfolios. Semi-professional traders and financial content creators. Quant traders who want research via LLM prompts. Use Case: Input: “How should I adjust my portfolio this week?” Output: Portfolio allocation + explanation (e.g., “Increased exposure to semiconductors due to strong Nvidia earnings and upward momentum”) Market Landscape / Competitors: Robo-advisors like Betterment and Wealthfront offer static, ETF-based portfolios with automated rebalancing tied to long-term risk profiles, while platforms like BlackRock’s Aladdin provide advanced forecasting but remain out of reach for retail investors.

Muwakkil addresses the significant challenges faced by entrepreneurs and SMEs in the UAE's complex, dual legal system (Mainland and Free Zones). Navigating intricate regulations, understanding contracts, complying with labor laws, and handling financial distress can be overwhelming and costly when relying solely on traditional legal avenues for initial queries. Our solution is an AI Legal Assistant specifically designed for this market, offering accessible and timely preliminary legal information directly through the widely used WhatsApp platform. Muwakkil provides UAE-specific legal Q&A, grounded in a curated knowledge base of official federal and key free zone laws. It also offers preliminary document analysis capabilities, allowing users to upload standard business documents for identification of key clauses and basic risk flagging. The assistant supports seamless interaction in both Arabic and English. Built on a robust Retrieval-Augmented Generation (RAG) architecture, Muwakkil leverages a high-quality, multilingual knowledge base and advanced AI models to ensure responses are accurate and relevant. The system is designed with a strong focus on security and compliance, adhering to UAE data protection laws (PDPL, DIFC/ADGM DPR) and AI ethics guidelines, including robust guardrails to prevent the unauthorized practice of law by clearly stating its informational role and limitations. Muwakkil empowers entrepreneurs by providing quick, affordable access to crucial legal information, saving time, reducing uncertainty, and helping them make more informed decisions about their business in the UAE. It acts as a trusted guide, helping them understand when and where to seek professional legal counsel.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!

In this hybrid hackathon powered by Arc, developers will build the next generation of payment systems using AI + Arc with USDC. Explore a world where AI agents can understand natural language, automate financial actions, and move money with precision. From DeFi to digital content and real-world assets, this is your chance to shape the future of intelligent finance. 📅 October 27 – November 9, 2025 • Oct 27 – Nov 8 (Online Phase) – Collaborate and build with developers and AI innovators from around the world. All projects must be submitted by end of day on November 8. • Nov 8 (New York City – On-site Build Day) – Selected participants will be invited to an exclusive in-person session to refine their projects and connect directly. • Nov 9 (New York City – Live pitching & Awards) – Live pitching sessions to a panel of judges and investors, followed by the official winner announcement. 📍 On-site Venue (Nov 8–9): Babe Ruth Room, Jay Conference Chelsea 159 West 25th Street, New York City, USA 🧠 Get guidance from blockchain and AI experts throughout the event. 🤝 Go solo or team up — it's your flow. 🏆Compete for $10,000 in USDC prizes. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now — sign up before the Kick-Off Stream!

Join the Internet of Agents Hackathon to build real-world, rentable agents using Coral Protocol and Solana-powered payments. 📅 September 14–21, 2025 Sept 14–21: Build online with global innovators. Submit projects by the deadline. Sept 20 (NYC): On-site build day at Solana Skyline (invitation only). Sept 21 (NYC): Live pitches, networking, and winner announcements. 🧠 Mentorship from experts and Coral specialists throughout. 🤝 Participate solo or in teams. 📍 Travel and accommodation not covered. 🚀 Sign up now to secure your spot before the Kick-Off Stream!