Clone Projects won't get you Hired in 2025! | AI, DeFi, Web 3 and Full stack Project Ideas

Clone Projects won't get you Hired in 2025! | AI, DeFi, Web 3 and Full stack Project Ideas Nine Project Ideas for the Next Month: The video outlines nine project ideas categorized into four niches, with a focus on creating end-to-end projects deploy able to a live link on GitHub and Twitter. These projects are designed to be aggressive and production-ready, suitable for showcasing skills in job interviews (around 30% of interviews focus on one project). The speaker encourages collaboration (four or five people) and emphasizes the importance of a live, working product. Four Niches and Project Ideas: The four niches are: High-Frequency Trading (HFT) & DeFi, Web3, AI, and Full-Stack Front-End Design. Specific project ideas include: Sports Betting Platform (HFT & DeFi): This project focuses on creating a platform similar to Polymarket or Probo, allowing users to bet on various outcomes, such as the results of sports matches (e.g., IPL matches). The platform will use an order book system, mimicking the functionality of exchanges like Zerodha and Binance. It involves significant technical challenges, particularly in achieving low latency for order execution. The speaker highlights the nuances of building such a platform, including the complexities of order books and the need for asynchronous architecture. On-Chain Order Book (Web3): This project involves building an order book on a blockchain like Solana or Ethereum. The speaker discusses the challenges of building on-chain order books, including slow transaction speeds and high gas fees. The suggestion is to build on Layer 2 (L2) solutions for faster transactions and lower costs. LLM-Powered Blender Add-ons (AI): Two aggressive AI projects are proposed. The first involves creating an LLM-powered interface for Blender, a 3D modeling and animation tool. This would allow users to generate 3D scenes using natural language prompts, interacting with Blender's MCP (Multi -Process Communication) protocol. A second variant focuses on a cursor for 3D modeling, converting 2D images into 3D meshes. AI-Powered Video Generation Platform (AI): This project aims to create a platform that generates videos from textual scripts using an AI and animation libraries like Manim. The platform would allow users to write scripts describing the desired video content, and the AI would generate the corresponding code and video. The UI would be similar to platforms like Bolt or Lovable, focusing on ease of use and video generation. **High-Reliability Video Recording and Rendering Platform (Full-Stack Front-End Design): ** This project focuses on building a system similar to Riverside.fm, addressing the challenges of high-reliability video recording and rendering for podcasts and other multi-party video calls. The goal is to improve the reliability and resiliency of the video recording and rendering process. Front-End Design Projects: The speaker also suggests building a UI library with 20 components as a strong portfolio piece for front-end design roles. This could include a CLI (command-line interface) for easier integration into React or Next.js projects. Advice for Project Selection: The speaker advises choosing one or two projects to focus on, building them end-to-end, and deploying them to a live link on GitHub. This approach is considered more impactful than working on many incomplete projects. Tagging the speaker on Twitter with the live link is also recommended.