Ready-to-use projects from top universities. Save time, learn faster, and get polished implementations.
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StreamWeave
StreamWeave is a fully decentralized streaming platform that enables creators to upload, store, and share video content without restrictions, censorship, or centralized control. Built on the Ethereum blockchain and Arweave’s permanent storage network, StreamWeave ensures immutable, transparent, and censorship-resistant content distribution. The platform features a modern user interface developed with Next.js and Tailwind CSS, enabling seamless upload, discovery, and playback of videos—all while maintaining complete user ownership and on-chain verifiability.
AI Startups & Investors Network
The AI Startups & Investors Network Visualization is an interactive data exploration platform designed to map and analyze the relationships between emerging AI companies and their financial backers. By using network-graph visualization techniques and time-based animations, the tool reveals patterns in investment behavior, highlights influential investors, and uncovers growth trends within the AI startup ecosystem. The platform provides a dynamic and visually intuitive interface that supports exploration, filtering, and detailed entity insights—empowering entrepreneurs, researchers, and investors to better understand the evolving landscape of AI innovation.
Tic-Tac-Toe-game
The Tic-Tac-Toe Game is a simple yet engaging two-player strategy game implemented as an interactive digital application. Designed for quick gameplay and intuitive interaction, the project demonstrates fundamental concepts of game logic, state management, and user interface design. Players alternate turns, placing X or O on a 3×3 grid, with the system automatically detecting wins, losses, or draws. The game emphasizes clean design, responsive interaction, and reliable game-state validation, making it an ideal introductory project for learning game development, frontend logic, and basic AI integration.
AI-Based Traffic Management System
The AI-Based Traffic Management System is an intelligent, real-time traffic optimization platform designed to reduce congestion and improve intersection efficiency using computer vision and machine learning. By processing live video feeds, the system automatically detects and counts vehicles, classifies traffic density, and dynamically adjusts traffic signal timings to maintain optimal flow. The solution provides a scalable, low-cost alternative to traditional sensor-based infrastructure, enabling smart city traffic automation with improved safety, reduced waiting times, and enhanced overall mobility.
Tasker
Tasker is a lightweight, web-based note-taking and task-management application designed to provide users with a fast, intuitive, and distraction-free workspace. Built using a modern MERN-stack architecture, Tasker enables seamless creation, editing, organization, and retrieval of notes with persistent cloud storage. With JWT-based authentication, responsive UI design, and real-time search capabilities, the platform ensures secure access and efficient management of personal tasks across devices. Tasker is optimized for minimalism, performance, and ease of use—making it suitable for everyday productivity and digital organization.
AllInfo – Real-Time SaaS Intelligence Delivered Anywhere
AllInfo is a lightweight, event-driven SaaS observability platform designed to provide real-time operational intelligence to product teams. By integrating directly with backend services, AllInfo processes sales events, user onboarding signals, subscription updates, and financial metrics, then routes them through multi-channel communication systems such as Discord, Slack, and email. The platform emphasizes minimal setup, instant feedback loops, and cloud-first scalability. AllInfo reduces monitoring overhead, accelerates decision-making, and enhances incident responsiveness for modern SaaS applications. The system provides an extensible architecture suitable for API-based event ingestion, custom triggers, and distributed alert delivery, making it a versatile solution for both early-stage startups and enterprise SaaS ecosystems.
LinkSculptor – A Smart URL Compression and Redirection System
LinkSculptor is an intelligent and lightweight URL compression service designed to transform long, complex web addresses into concise, human-readable short links. The system integrates a Node.js–based Express API, MongoDB persistence, and a TypeScript-powered frontend to deliver a fast, secure, and scalable URL management solution. LinkSculptor uses a unique short-code generation algorithm to ensure minimal collision probability and efficient retrieval during redirection. A modular system architecture enables seamless communication between the client application, API layer, and database. Additional features—such as metadata tracking, click analytics, and a database health-check endpoint—enhance system observability and provide deeper insights into user behavior. The solution is optimized for cloud deployment using Vercel and MongoDB Atlas, enabling high availability and low-latency access. LinkSculptor demonstrates how modern web technologies can be orchestrated to produce a reliable, type-safe, and scalable URL-shortening service intended for both real-world deployment and academic research.
Sahayak AI Education Platform
Sahayak is an AI-powered education platform designed for multi-grade and low-resource classrooms. It helps teachers save time and improve learning outcomes by automating test creation, hint generation, grading, lesson planning, and content translation. Built with Streamlit and Groq’s language models, Sahayak provides culturally relevant, multi-language educational support accessible through a simple, offline-friendly interface. The platform also includes an AI chatbot and analytics dashboard that assist teachers in monitoring performance and guiding students more effectively.
Cryptocurrency Matching Engine
The Cryptocurrency Matching Engine is a high-performance order-matching system built to simulate real-world exchange mechanics while adhering to REG NMS principles. Designed with Python and optimized data structures, it supports advanced order types, real-time APIs, and sub-millisecond matching latency. The system ensures price-time priority, prevents trade-throughs, and processes 1000+ orders per second, offering a production-ready architecture for research, trading simulations, and exchange prototyping.
LearnMusic — Modern Music Learning Platform
LearnMusic is a modern, responsive music-learning platform built with Next.js, TypeScript, and Tailwind CSS, offering users an intuitive way to explore and enroll in music courses across diverse genres. The platform features curated lessons covering instruments, vocals, and music production, presenting learners with structured modules, interactive content, and skill-based categorization. Designed for accessibility and smooth performance, LearnMusic makes high-quality music education available to learners of all levels.
SmartMath: AI-Powered Problem Solver & Knowledge Assistant
SmartMath: AI-Powered Math Problem Solver & Knowledge Assistant is an intelligent web-based application built using Streamlit and LangChain with Groq LLM integration. It combines the power of natural language understanding, mathematical reasoning, and knowledge retrieval to transform ordinary text-based math problems into step-by-step solutions with detailed explanations. The system uses: LLMMathChain for numerical computations and symbolic reasoning, WikipediaAPIWrapper for factual or conceptual knowledge lookup, and LLMChain (Llama 3.3) for human-like reasoning, logical inference, and structured responses.
Humaninex
Humaninex is an advanced AI-driven text forensics and naturalization engine designed to identify algorithmically-generated language patterns inside academic writing and convert them into more natural, human-like prose — without altering knowledge integrity. Unlike traditional paraphrasers that rewrite text blindly, Humaninex applies forensic linguistic metrics such as perplexity, burstiness, and repetition scoring to isolate only those segments that statistically resemble AI-generated outputs. The system then performs controlled rewriting passes that preserve factual meaning, citations, terminology, numerical data, and scholarly tone — while restructuring sentences to align with natural human linguistic variability. Humaninex can be used to validate, audit, naturalize, and rehabilitate academic manuscripts, research papers, essays, and technical documents where authenticity signals matter
CloudFile Reader
CloudFile Reader is an advanced AI-powered cloud application designed to simplify information consumption in the digital age. It seamlessly integrates Large Language Models (LLMs), Groq’s high-performance inference engine, and LangChain’s modular framework to transform long-form digital content — such as YouTube videos, research articles, blogs, and uploaded documents — into concise, structured, and contextually rich summaries. The system leverages cloud-based computation, intelligent document loaders, and semantic text extraction through BeautifulSoup to deliver high-quality outputs in real time. By automating the process of understanding and condensing complex textual data, CloudFile Reader empowers users across industries — including academia, business, journalism, and research — to gain actionable insights faster and more efficiently. With its scalable architecture and interactive Streamlit-based user interface, the platform demonstrates how cutting-edge AI can revolutionize the way humans interact with large-scale unstructured data, fostering productivity, accessibility, and knowledge democratization.
IntelliSearch
IntelliSearch is an advanced AI-powered global knowledge and research assistant engineered to unify large-scale language understanding, intelligent search, and knowledge synthesis within a single, adaptive framework. It seamlessly integrates Large Language Models (LLMs), semantic web retrieval, and academic data mining to provide users with contextually rich, research-grade insights in real time. Leveraging Groq’s high-performance LPU-based inference platform and the LangChain agentic reasoning architecture, IntelliSearchX demonstrates a new paradigm of autonomous knowledge orchestration. It operates beyond conventional search — intelligently selecting, analyzing, and synthesizing information from multiple knowledge streams such as Wikipedia, Arxiv, and DuckDuckGo, delivering responses that are not only factually grounded but semantically coherent and contextually relevant. The system functions as a global cognitive engine, enabling researchers, analysts, and general users to engage with information in a truly conversational and analytical manner. By transforming raw, unstructured data into meaningful summaries, IntelliSearchX redefines how humans access, comprehend, and interact with global knowledge.
SummarifyX — AI Summarizer for Web & YouTube
SummarifyX is a lightweight, fast, and intelligent AI-powered content summarization application that converts long-form YouTube videos and website articles into concise insights. Built on modern cloud computing principles Tech Stack- Python , Streamlit , Streamlit Cloud
StreamWeave
StreamWeave is a fully decentralized streaming platform that enables creators to upload, store, and share video content without restrictions, censorship, or centralized control. Built on the Ethereum blockchain and Arweave’s permanent storage network, StreamWeave ensures immutable, transparent, and censorship-resistant content distribution. The platform features a modern user interface developed with Next.js and Tailwind CSS, enabling seamless upload, discovery, and playback of videos—all while maintaining complete user ownership and on-chain verifiability.
AI Startups & Investors Network
The AI Startups & Investors Network Visualization is an interactive data exploration platform designed to map and analyze the relationships between emerging AI companies and their financial backers. By using network-graph visualization techniques and time-based animations, the tool reveals patterns in investment behavior, highlights influential investors, and uncovers growth trends within the AI startup ecosystem. The platform provides a dynamic and visually intuitive interface that supports exploration, filtering, and detailed entity insights—empowering entrepreneurs, researchers, and investors to better understand the evolving landscape of AI innovation.
Tic-Tac-Toe-game
The Tic-Tac-Toe Game is a simple yet engaging two-player strategy game implemented as an interactive digital application. Designed for quick gameplay and intuitive interaction, the project demonstrates fundamental concepts of game logic, state management, and user interface design. Players alternate turns, placing X or O on a 3×3 grid, with the system automatically detecting wins, losses, or draws. The game emphasizes clean design, responsive interaction, and reliable game-state validation, making it an ideal introductory project for learning game development, frontend logic, and basic AI integration.
AI-Based Traffic Management System
The AI-Based Traffic Management System is an intelligent, real-time traffic optimization platform designed to reduce congestion and improve intersection efficiency using computer vision and machine learning. By processing live video feeds, the system automatically detects and counts vehicles, classifies traffic density, and dynamically adjusts traffic signal timings to maintain optimal flow. The solution provides a scalable, low-cost alternative to traditional sensor-based infrastructure, enabling smart city traffic automation with improved safety, reduced waiting times, and enhanced overall mobility.
Tasker
Tasker is a lightweight, web-based note-taking and task-management application designed to provide users with a fast, intuitive, and distraction-free workspace. Built using a modern MERN-stack architecture, Tasker enables seamless creation, editing, organization, and retrieval of notes with persistent cloud storage. With JWT-based authentication, responsive UI design, and real-time search capabilities, the platform ensures secure access and efficient management of personal tasks across devices. Tasker is optimized for minimalism, performance, and ease of use—making it suitable for everyday productivity and digital organization.
AllInfo – Real-Time SaaS Intelligence Delivered Anywhere
AllInfo is a lightweight, event-driven SaaS observability platform designed to provide real-time operational intelligence to product teams. By integrating directly with backend services, AllInfo processes sales events, user onboarding signals, subscription updates, and financial metrics, then routes them through multi-channel communication systems such as Discord, Slack, and email. The platform emphasizes minimal setup, instant feedback loops, and cloud-first scalability. AllInfo reduces monitoring overhead, accelerates decision-making, and enhances incident responsiveness for modern SaaS applications. The system provides an extensible architecture suitable for API-based event ingestion, custom triggers, and distributed alert delivery, making it a versatile solution for both early-stage startups and enterprise SaaS ecosystems.
LinkSculptor – A Smart URL Compression and Redirection System
LinkSculptor is an intelligent and lightweight URL compression service designed to transform long, complex web addresses into concise, human-readable short links. The system integrates a Node.js–based Express API, MongoDB persistence, and a TypeScript-powered frontend to deliver a fast, secure, and scalable URL management solution. LinkSculptor uses a unique short-code generation algorithm to ensure minimal collision probability and efficient retrieval during redirection. A modular system architecture enables seamless communication between the client application, API layer, and database. Additional features—such as metadata tracking, click analytics, and a database health-check endpoint—enhance system observability and provide deeper insights into user behavior. The solution is optimized for cloud deployment using Vercel and MongoDB Atlas, enabling high availability and low-latency access. LinkSculptor demonstrates how modern web technologies can be orchestrated to produce a reliable, type-safe, and scalable URL-shortening service intended for both real-world deployment and academic research.
Sahayak AI Education Platform
Sahayak is an AI-powered education platform designed for multi-grade and low-resource classrooms. It helps teachers save time and improve learning outcomes by automating test creation, hint generation, grading, lesson planning, and content translation. Built with Streamlit and Groq’s language models, Sahayak provides culturally relevant, multi-language educational support accessible through a simple, offline-friendly interface. The platform also includes an AI chatbot and analytics dashboard that assist teachers in monitoring performance and guiding students more effectively.
Cryptocurrency Matching Engine
The Cryptocurrency Matching Engine is a high-performance order-matching system built to simulate real-world exchange mechanics while adhering to REG NMS principles. Designed with Python and optimized data structures, it supports advanced order types, real-time APIs, and sub-millisecond matching latency. The system ensures price-time priority, prevents trade-throughs, and processes 1000+ orders per second, offering a production-ready architecture for research, trading simulations, and exchange prototyping.
LearnMusic — Modern Music Learning Platform
LearnMusic is a modern, responsive music-learning platform built with Next.js, TypeScript, and Tailwind CSS, offering users an intuitive way to explore and enroll in music courses across diverse genres. The platform features curated lessons covering instruments, vocals, and music production, presenting learners with structured modules, interactive content, and skill-based categorization. Designed for accessibility and smooth performance, LearnMusic makes high-quality music education available to learners of all levels.
SmartMath: AI-Powered Problem Solver & Knowledge Assistant
SmartMath: AI-Powered Math Problem Solver & Knowledge Assistant is an intelligent web-based application built using Streamlit and LangChain with Groq LLM integration. It combines the power of natural language understanding, mathematical reasoning, and knowledge retrieval to transform ordinary text-based math problems into step-by-step solutions with detailed explanations. The system uses: LLMMathChain for numerical computations and symbolic reasoning, WikipediaAPIWrapper for factual or conceptual knowledge lookup, and LLMChain (Llama 3.3) for human-like reasoning, logical inference, and structured responses.
Humaninex
Humaninex is an advanced AI-driven text forensics and naturalization engine designed to identify algorithmically-generated language patterns inside academic writing and convert them into more natural, human-like prose — without altering knowledge integrity. Unlike traditional paraphrasers that rewrite text blindly, Humaninex applies forensic linguistic metrics such as perplexity, burstiness, and repetition scoring to isolate only those segments that statistically resemble AI-generated outputs. The system then performs controlled rewriting passes that preserve factual meaning, citations, terminology, numerical data, and scholarly tone — while restructuring sentences to align with natural human linguistic variability. Humaninex can be used to validate, audit, naturalize, and rehabilitate academic manuscripts, research papers, essays, and technical documents where authenticity signals matter
CloudFile Reader
CloudFile Reader is an advanced AI-powered cloud application designed to simplify information consumption in the digital age. It seamlessly integrates Large Language Models (LLMs), Groq’s high-performance inference engine, and LangChain’s modular framework to transform long-form digital content — such as YouTube videos, research articles, blogs, and uploaded documents — into concise, structured, and contextually rich summaries. The system leverages cloud-based computation, intelligent document loaders, and semantic text extraction through BeautifulSoup to deliver high-quality outputs in real time. By automating the process of understanding and condensing complex textual data, CloudFile Reader empowers users across industries — including academia, business, journalism, and research — to gain actionable insights faster and more efficiently. With its scalable architecture and interactive Streamlit-based user interface, the platform demonstrates how cutting-edge AI can revolutionize the way humans interact with large-scale unstructured data, fostering productivity, accessibility, and knowledge democratization.
IntelliSearch
IntelliSearch is an advanced AI-powered global knowledge and research assistant engineered to unify large-scale language understanding, intelligent search, and knowledge synthesis within a single, adaptive framework. It seamlessly integrates Large Language Models (LLMs), semantic web retrieval, and academic data mining to provide users with contextually rich, research-grade insights in real time. Leveraging Groq’s high-performance LPU-based inference platform and the LangChain agentic reasoning architecture, IntelliSearchX demonstrates a new paradigm of autonomous knowledge orchestration. It operates beyond conventional search — intelligently selecting, analyzing, and synthesizing information from multiple knowledge streams such as Wikipedia, Arxiv, and DuckDuckGo, delivering responses that are not only factually grounded but semantically coherent and contextually relevant. The system functions as a global cognitive engine, enabling researchers, analysts, and general users to engage with information in a truly conversational and analytical manner. By transforming raw, unstructured data into meaningful summaries, IntelliSearchX redefines how humans access, comprehend, and interact with global knowledge.
SummarifyX — AI Summarizer for Web & YouTube
SummarifyX is a lightweight, fast, and intelligent AI-powered content summarization application that converts long-form YouTube videos and website articles into concise insights. Built on modern cloud computing principles Tech Stack- Python , Streamlit , Streamlit Cloud