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Summary: The problem requires participants to design a powered-lift fixed wing for a Short Take-Off and Landing (STOL) aircraft. The objective is to generate exceptionally high lift coefficients by integrating a fixed-wing design with a thrust-producing device. The proposed solution must be rigorously validated through computational fluid dynamics (CFD) analysis and/or experimental wind tunnel testing, contributing to the development of a next-generation 8-seater hybrid-electric STOL aircraft for enhanced regional air travel.
Summary: The challenge is to create a robust and systematic algorithmic trading strategy using two provided anonymized time-series datasets, EBX & EBY. Each dataset includes a core price-like series along with hundreds of masked features. The key tasks are to design a strategy that performs consistently across both datasets, adheres to an intra-day flat requirement, and avoids forward bias ("no peeking"). The competition is split into two phases: a mid-term evaluation using only the given features and an end-term where participants are free to engineer new derived features.
Domain: Algorithmic Trading, Quantitative Finance, Time Series Analysis, Financial Markets, Data Science, Backtesting
Summary: Participants are tasked with building a production-grade, streaming-native agentic application for the financial sector using the Pathway framework. The application must leverage real-time data streaming to maintain up-to-date metrics, incrementally update deterministic models, and deploy ambient AI agents that react to new information without prompts. While the specific use case is agnostic, suggested applications include Real-Time AI Investment Decisions, Live Credit Risk Evaluation, and Continuous Fraud Monitoring, with a strong emphasis on creating a system a real company could deploy.
Summary: The problem statement involves designing and validating an AI-assisted, client-aware Radio Resource Management (RRM) system for enterprise Wi-Fi. Leveraging Arista's dedicated additional radio for continuous spectrum sensing, participants must develop a system that improves real-world client Quality of Experience (QoE). The solution should blend AP-side and client-side data to make intelligent, dynamic decisions on channel selection, transmit power, channel width, and client steering, while maintaining network stability.
Summary: Develop a comprehensive autonomous mobile robot system capable of navigating warehouse environments and performing vertical scanning operations on storage racks up to 2 meters in height. The system must capture high-resolution visual data from bottom to top (or vice versa), process the information (such as QR codes), and store it for real-time inventory analysis and management.
Summary: Design and prototype a lightweight, mobile-first AI image editor for 2030 that demonstrates how creative editing can become faster, more intuitive, and energy-efficient on low-compute devices. The solution should combine design thinking (wireframes), market research, and the implementation of two key AI-powered features or editing workflows, such as object removal or style transfer, using open-source models.
Summary: The challenge is to design and build a functional prototype that empowers non-expert users to interpret and analyze satellite imagery using a natural language interface. The platform must be able to perform three key tasks: Captioning (generating a descriptive summary of the image), Grounding (localizing objects within the image based on a text query), and Visual Question Answering (VQA) about the attributes of objects and features in the image.
Summary: This project involves the study, simulation, and HDL design of a Delta-Sigma Analog to Digital Converter (ADC). The objective is to achieve higher Effective Number of Bits (ENOBs) at higher sampling rates by incorporating a suitable Delta-Sigma modulator and a digital/decimation filter. Participants are required to model and simulate the ADC, and then design and implement the digital filter at the Register Transfer Level (RTL) using Verilog/VHDL, followed by ASIC design flow steps like synthesis and layout.
Domain: VLSI Design, ASIC Development, Analog to Digital Converters (ADC), Digital Signal Processing (DSP), HDL (Verilog/VHDL), Semiconductor Design
Summary: The objective is to design a system that accepts a natural-language query related to a specific business event (e.g., "Why are escalations happening on calls?") and generates an evidence-based causal explanation. The system must process large-scale conversational transcripts to infer causal relationships between dialogue dynamics and the specified event, identifying key contributing factors and behaviors. The system should also be able to handle conversational follow-ups.
Domain: Natural Language Processing (NLP), Causal Inference, Conversational AI, Data Science, Machine Learning, Speech Analytics
Summary: Design and demonstrate a post-quantum secure DTLS 1.3 communication channel between a server and a RISC-V-based IoT device operating on a bare-metal environment (no OS). Participants must integrate PQC algorithms (like Kyber/Dilithium) into the wolfSSL/wolfCrypt library, optimize for constrained hardware (latency, memory), and demonstrate successful key exchange and authentication.
Summary: Build an on-board stabilization and precision-motion system for a nano-drone (MagisV2) without GPS. The system must achieve stable hover and execute precise user-triggered 10-20 cm micro-movements using Optical Flow, ToF, and IMU data. Key requirements include real-time velocity estimation, cascaded control loops (Position-Velocity-Attitude), and robust sensor fusion.
Domain: Robotics, Control Systems, Drones, Sensor Fusion, Embedded Systems
Summary: Design and build a "3 Level Platformer Game" (2D or 3D) that demonstrates clear level progression and difficulty curves. The game must include platformer-specific mechanics (jumping, traps, physics) and a meaningful win condition. There are no engine restrictions (Godot/Unity/Unreal recommended), and the focus is on creativity, level design quality, and gameplay feel.
Summary: A continuous hackathon-style event (12 hours) focusing on AI/ML in Healthcare. The problem statement involves building a system using "Vibe Coding" (Lovable platform), Agentic Backends (Supabase), and Cloud Architecture. Core topics include Computer Vision (CNNs/Image Processing), LLM Finetuning, and Multimodal AI Fusion.
Summary: A series of compact coding tasks focusing on Algorithmic Optimisation for scalable AI systems. Tasks cover Data Structure Transformations, Loss Engineering, Autonomous Knowledge Graph Construction, and LLM-Based Decision Modules. Participants are expected to have basic familiarity with Topological Data Analysis (TDA), such as simplicial complexes and persistent homology.
Domain: Algorithms, Optimization, Data Structures, AI/ML, Topological Data Analysis (TDA)
Summary: A mathematics competition consisting of four rounds over two days. Rounds 1 and 2 are typical olympiads; Round 3 focuses on numerical questions (speed/precision); Round 4 format is undisclosed. The syllabus covers typical undergraduate Math Olympiad topics including Algebra, Number Theory, Geometry, Calculus, and Combinatorics.
Summary: A platform for undergraduate and postgraduate students to present research papers aligned with the theme "Atmanirbhar Innovation." Papers must have been previously presented at a conference or published in a reputed journal. Categories include Category 1 (CS/AI/Elec), Category 2 (Mech/Civil/Bio), and Category 3 (Pure Sciences/Mgmt/Humanities). Evaluation is based on a standardized rubric covering methodology, originality, and presentation.
Summary: A showcase for student-built projects addressing contemporary challenges under the theme "Atmanirbhar Innovation." Projects can be Patent-Filed, from Student Technical Teams, or Faculty-Student Collaborations. Evaluation focuses on the Project Submission, Presentation/Poster, Prototype functionality, and bonus points for Patent Filing or Industry Collaboration.
2024 (13.0) - IIT Bombay - The Timeless Technopolis
Prep Level: HIGH
ISRO
Prep Level: HIGH
Summary: The problem statement requires participants to utilize X-ray fluorescence (XRF) data obtained from the CLASS instrument on the Chandrayaan-2 orbiter to generate high-resolution elemental ratio maps of the lunar surface. The goal is to derive XRF line intensities from the entire set of CLASS spectra and create a map at approximately 12km resolution which highlights compositional variations, enhancing geochemical and resource mapping. Deliverables include XRF line intensity maps projected onto a lunar albedo base map, open-source code, and a report outlining the methodology, with bonus points for a draft journal paper.
Domain: Data Science, Astronomy, Space Science, Image Processing, Remote Sensing, Data Analysis
Summary: The challenge involves creating an Agentic RAG (Retrieval-Augmented Generation) system using the Pathway framework. The system should autonomously retrieve, analyze, and synthesize information from multiple data sources to answer complex queries. It should also dynamically decide the best approach, utilizing techniques like corrective RAG and multi-agent collaboration. The deliverable is a GitHub repository containing the solution, documentation, a demo video, and a presentation.
Domain: Retrieval Augmented Generation, Generative AI, Agentic AI, Data Processing, Python, Rust, Data Science, Information Retrieval
Summary: The problem is to develop and backtest algorithmic trading strategies for BTC/USDT and ETH/USDT cryptocurrency pairs using historical data from January 1, 2020, to December 31, 2023. Participants will design, implement, backtest, and optimize trading algorithms, incorporating risk management and considering transaction costs. The deliverables include the algorithm code, backtesting results with performance metrics, a risk management plan, a comprehensive report, and a final presentation summarizing the strategy and results.
Domain: Algorithmic Trading, Finance, Data Analysis, Statistical Modeling, Machine Learning
Summary: The problem is to design and implement a control algorithm for a standard quadrotor that allows it to recover with minimal loss of stability following a single motor failure. The algorithm should include implicit failure detection and control adjustments to the remaining three motors to achieve controlled landing, stable hover, or return home and landing. The solutions should be developed using the PX4 flight controller stack and the Gazebo simulator. A report, working code, and simulation videos are required deliverables, with bonus points for successful physical demonstration.
Domain: Robotics, Control Systems, Simulation, Aerospace Engineering, Embedded Systems
Summary: The problem involves developing a model to detect AI-generated images and explain the basis for the classification, focusing on identifying artifacts. The challenge comprises two main tasks: accurately identifying AI-generated images and explaining the classification by identifying and interpreting distinguishing artifacts within images, using the CIFAKE dataset of 60000 labeled real and synthetic images. The deliverable includes code and a technical report outlining the approach, model architecture, and performance.
Summary: The problem is to develop a solution for Dream11 that helps users create winning fantasy cricket teams using player data and predictive AI. This involves building a robust ML model to predict player performance based on historical and contextual data, creating an intuitive user interface with interactive elements, and allowing users to build a team of 11 players with specified constraints; the output will consist of a Python-based tool with a user-friendly interface for team recommendation and a separate model evaluation interface.
Domain: Machine Learning, UI/UX Design, Data Science, Simulation
Summary: The problem is to optimally pack a set of packages into a set of Unit Load Devices (ULDs) for a given flight, minimizing total cost. Constraints include weight limits, ULD dimensions, and priority package handling. The expected output is the ULD assignment and coordinates within the ULD for each package, and the total cost, considering the cost of delayed packages and the cost of spreading priority packages across multiple ULDs.
Summary: Participants are challenged to create a detailed MATLAB/Simulink model of a vapor compression-based air conditioning system using a single compressor. The goal is to achieve optimal cooling, dehumidification, and energy efficiency within safe operational limits under varying load conditions, selecting components and refrigerant and designing control logic. The deliverable is a model along with documentation and a final presentation.
Domain: Simulation, Thermodynamics, HVAC, Control Systems, MATLAB/Simulink
Summary: The problem challenges participants to design a centralized "Singular Brain" system for a robot swarm that can perform optimized path planning in dynamic environments without GPS. The swarm must collaboratively plan optimal paths, avoid collisions, dynamically rank navigation tasks, and integrate memory persistence through a shared database to label and store environmental changes. The solution should maintain efficiency and scalability when deployed in new environments and with larger swarms of robots, ultimately creating an adaptable database of object locations without manual intervention.
Summary: Participants must design and develop a 2D or 3D game that incorporates at least 2-3 of the given themes (Hidden Networks, Autonomous Worlds, Algorithmic Campuses, Digital Archeology, and Evolving Landscapes). The final deliverable is an executable file, preferably for Windows or Android, along with a brief presentation and video explaining the development process. The game should be accessible without requiring subscriptions or additional data collection.
Domain: Game Design, Game Development, Programming
Summary: The problem statement focuses on the challenges of solar panel waste and recycling in India, requiring participants to develop a predictive framework to assess future challenges and propose viable, cost-effective, and environmentally sustainable solutions for solar panel recycling, considering the Indian context and its limitations. This includes creating a data-driven model, developing recycling solutions, assessing environmental impacts, and creating a policy roadmap to improve solar panel recycling and encourage a circular economy.
Summary: The RoboQuest competition, sponsored by Rigbetel Labs, is a two-round event. Round 1 is a simulation-based qualifier, and Round 2 is a hardware task using equipment provided by Rigbetel Labs. The problem statement revolves around SLAM, localization, sensor fusion, and navigation, requiring participants to implement code to execute tasks on Rigbetel Lab's hardware. Only the top 10 teams from Round 1 will advance to Round 2.
Domain: Robotics, Simulation, SLAM, Sensor Fusion, Navigation, Software Development
Summary: The Messier Marathon is a two-round event focused on astronomy, consisting of a pen-and-paper test in Round 1 covering topics like orbital mechanics and stellar observations, and telescopic observations with calculations in Round 2, requiring knowledge of stars and deep-sky objects. The top 10 teams from Round 1 advance to Round 2, with each IIT allowed to submit one answer booklet per round.
Summary: The Math Bowl is a 4-hour subjective pen-paper exam scheduled for December 11, 2024. It consists of 6 questions of increasing difficulty, ranging from pre-Olympiad level to approximately IMO 2/5. The topics covered include pre-college and 1st-year mathematics such as basic linear algebra, discrete math, and calculus. The goal is to solve these problems with rigorous and well-justified solutions, as partial marks are allotted, and solutions lacking proper reasoning will receive no credit.
Summary: The Inter-IIT Tech Meet 13.0 is hosting a Students' Academic Conference where undergraduate and postgraduate students can present their research papers aligned with the theme of Viksit Bharat@2047. Papers must have been previously presented at a conference or published in a reputable journal. Participants will submit their research for review and present them in two rounds, including a poster presentation and a PPT presentation, with the top three papers in each category receiving recognition.
Domain: Academic Research, Various Engineering and Science Disciplines, Technology Development
Summary: The Engineers' Conclave at the Inter IIT Tech Meet invites students to showcase impactful projects addressing issues across varied engineering sectors. The theme, "Viksit Bharat@2047," encourages projects aligned with India's vision to become a developed nation by 2047, encompassing economic prosperity, social advancement, environmental sustainability, and effective governance. Submissions require a report, problem statement, proposed solution, poster, and potentially a patent filing proof and prototype, with projects evaluated based on presentation, prototype quality, and poster complementation.
Domain: Engineering, Technology, Innovation, Governance, Sustainability, Climate Action, Digital Economy
Summary: The problem statement challenges participants to develop an AI agent, "AI Agent 007", capable of answering domain-specific user queries by intelligently selecting and composing tools from a given toolbox using a Language Model (LLM). The solution should be able to handle conversational queries, dynamically add or modify tools, and output a structured JSON format that outlines the chosen tools and their arguments. The goal is to create a system that can accurately and efficiently address complex questions within specialized domains, enhancing user satisfaction and automating customer support tasks.
Domain: Natural Language Processing, Artificial Intelligence, Language Model, Tool Selection, JSON, Customer Support Automation
Summary: The problem statement challenges participants to analyze the adoption of chiplet technology in the automotive industry for Jaguar Land Rover (JLR), focusing on its potential benefits, specific applications in cars, and micro-architecture design. It requires participants to propose secure and reliable interconnect technologies suited for automotive safety-critical applications, devise packaging and cooling solutions for chiplets, and consider the cost and potential for differentiation from other OEMs, specifically how JLR can benefit from designing their own chiplets or using off the shelf components. The submission includes both midterm and final presentations and reports.
Summary: The WorldQuant Brain Quantitative Analysis Challenge tasks participants with building "alphas" (mathematical models) to predict future price movements of financial instruments using historical market data on the WorldQuant BRAIN platform. Participants first compete in a qualifying stage to become a BRAIN Research Consultant, gaining access to more platform features, and then proceed to a final stage with a new problem statement. The final outcome involves developing trading algorithms and presenting solutions offline, with rankings determined by WorldQuant.
Domain: Quantitative Analysis, Finance, Data Analysis, Algorithms, Trading, Python
Summary: The challenge is to develop and plan go-to-market strategies for standalone apps/applications that can be built on top of Trumio's University Project Ecosystem Platform and App Store. The apps should drive alumni engagement, improve student and university AI skills, and ensure client projects meet quality expectations. The deliverables are split into three tiers: ideation with data backing, prototype development with AI integration and UX, and a final presentation of the go-to-market plan.
Summary: The challenge involves solving two tasks: behavior simulation and content simulation. Task 1 requires predicting the user engagement (likes) of a given tweet based on its content and metadata. Task 2 involves generating tweet text from tweet metadata. The expected outcome is a model that accurately predicts user engagement and generates relevant tweet content, evaluated using appropriate metrics like RMSE for Task 1 and BLEU, ROUGE, and CIDER for Task 2.
Domain: Natural Language Processing, Machine Learning, Social Media Analysis, Simulation, Data Science
Summary: The Aptos Blockchain Challenge at the Inter-IIT Tech Meet invites participants to develop innovative solutions on the Aptos Layer 1 blockchain. Participants can choose between four problem statements: building a Metamask Snap for Aptos, developing a decentralized futures trading platform, creating on-chain versions of Wordle/Qwordle, or designing an on-chain radio protocol. The challenge aims to leverage Aptos' unique capabilities to create impactful solutions, with a focus on user experience and blockchain utilization. The deliverables include a final presentation and a GitHub repository with code and setup instructions, with an emphasis on code quality and project completeness.
Domain: Blockchain, Web Development, Smart Contracts, UI/UX Design
Summary: The problem is to develop a solution for airlines to automatically re-accommodate passengers impacted by planned schedule changes. The solution should analyze the impact of flight changes, identify suitable alternate flights, rank flight solutions and passengers based on various factors and rules, and generate flight and passenger re-accommodation solution files. The expected outcome is a business rules engine that produces default and exception re-accommodation solution files with the flexibility to alter business rules.
Domain: Optimization, Simulation, Data Science, Software Engineering
Summary: The challenge is to develop algorithmic trading strategies for the BTC/USDT cryptocurrency market, aiming to outperform benchmark returns while effectively managing risk. Participants are expected to use historical data, preprocess it, design strategies using statistical and mathematical models (including potentially machine learning), backtest their strategies considering transaction costs, and implement robust risk management. The deliverables include algorithm code, backtesting results, a risk management plan, a presentation, and a comprehensive report.
Summary: Participants are challenged to design and develop a game incorporating at least two of five themes: breakable environments, landing, misdirection, symmetry, and puzzles. The game must have a scoring mechanism and a local leaderboard. Participants must also prepare a brief presentation or video showcasing their development process and learning experience, alongside an executable build of the game.
Domain: Game Design, Game Development, UI/UX Design
Summary: The challenge is to develop a simulation game that allows users to plan and manage the development of a hypothetical village (Gram Panchayat) within a budget. The game should utilize provided SVAMITVA GIS data and Gram Panchayat Development Plan as input, allowing users to allocate resources for infrastructure, sanitation, and public utilities, while considering the impact on citizen morale and happiness index. The deliverables include a functional application that helps in Gram Panchayat development planning with cost implications.
Domain: Game Development, Simulation, GIS, Urban Planning
Summary: The challenge is to design a telescopic shaft for an agitator mechanism used to homogenize waste in tanks up to 5 meters deep. The shaft should be capable of extending to 5 meters and retracting to 1 meter for portability. The design must be user-friendly, waterproof, spark-proof, and easily operable with a single switch or button. The deliverable is a complete working assembly and part design, with considerations for depth capability, flexibility, weight, user-friendliness, and portability.
Summary: The challenge focuses on improving cybersecurity practices. It presents three problem statements: improving cybersecurity audit processes and outcomes, reducing vulnerabilities in software applications, and developing applications with features to detect and respond to attacks. Participants are expected to design tools, develop security baselines, and suggest elements/techniques for secure application development, along with action plans for implementation. The goal is to enhance overall cybersecurity and promote proactive approaches to preventing vulnerabilities and mitigating risks.
Summary: The Math Bowl is a pen-and-paper subjective exam scheduled for 4 hours, where each IIT can send a team of at most 2 members. The exam consists of 5 questions of increasing difficulty, ranging from pre-olympiad to IMO 2/5 level, covering pre-college and 1st-year mathematics topics such as linear algebra, discrete math, and calculus. Teams will submit one answer booklet, and solutions must include proper reasoning to receive marks.
Summary: The Engineers' Conclave at the Inter IIT Tech Meet invites student-built projects addressing issues across various engineering sectors aligned with India's G20 priorities, focusing on environmentally-conscious practices and sustainable living. Participants are required to submit a report, poster, and optionally a prototype, which will be evaluated based on a defined rubric, with points awarded for relevance, research depth, and implementability. The aim is to provide a platform for student projects, fostering interaction with industry professionals and peers, knowledge sharing, and future partnerships.
Summary: The Inter IIT Tech Meet's Students' Academic Conference invites undergraduate and postgraduate students from all disciplines to present their research work aligned with India's G20 priorities, focusing on sustainable development. Participants will submit papers that have been previously presented or published, and will present their work in poster and PPT formats, with a judging panel selecting the best papers from each category based on a specific rubric.
Summary: The challenge involves developing a Python wrapper to control a Pluto drone, enabling it to perform specific tasks such as hovering at a certain height using ArUco tags and moving in rectangular motion. The final task requires implementing a drone swarm, where two drones fly together, following predefined paths. Successful completion involves creating robust code, comprehensive documentation, and submitting videos showcasing the drone's performance.
Summary: The problem statement requires participants to build a system that can answer questions from a given set of paragraphs, associating each question and paragraph with a specific theme. The goal is to predict if a question can be answered using the provided paragraphs and, if so, identify the relevant paragraph and extract the precise answer with its start index. The system's performance is evaluated through training and inference notebooks, with a focus on accuracy, inference time, and code reproducibility.
Domain: Natural Language Processing, Question Answering, Information Retrieval, Machine Learning, Text Analysis
Summary: The problem challenges participants to develop a system for optimizing last-mile delivery operations. This involves creating a tool to accurately estimate the volumetric weight of items and a route planning algorithm that dynamically adjusts routes to maximize on-time delivery percentage, minimize distance traveled, and accommodate dynamically added pickup points, while considering rider capacity and bag constraints, within the city of Bangalore. The final deliverable includes a codebase and a platform (web/app) to integrate these functionalities, with a focus on a multi-pickup dynamic route planning system evaluated through simulations.
Domain: Optimization, Route Planning, Logistics, Image Processing, Clustering, Web Development, Mobile Development, Data Science, Simulation
Summary: Participants are challenged to identify a game-changing problem statement, validate it with real-world users, and develop a simple, adaptable technical solution. The competition involves multiple stages, including problem statement submission, solution development with customer validation, and a final presentation to a judging panel. The goal is to create a novel and feasible solution that addresses a real-world problem, considering customer needs and future technological advancements.
Domain: Entrepreneurship, Problem Solving, Customer Research, Technology Solution, Prototype Development
Summary: The challenge involves extending the functionality of MetaMask, a popular wallet, through the development of new and innovative "Snaps." Participants are asked to create unique and useful Snap applications that meaningfully extend the wallet's capabilities, with the goal of customizing and enhancing the MetaMask wallet experience. The deliverable is a functional and runnable Snap that demonstrates a novel use case and meets the specified submission requirements, including a README, a monorepo structure, and a specific "fox.txt" file.
Domain: Blockchain, Web Development, UI/UX Design, Cryptography
Summary: The challenge involves extracting vital signs like heart rate, SpO2, respiratory rate (RR), systolic and diastolic blood pressure, and MAP from provided images of patient monitors. The solution will be evaluated on accuracy, inference time, and novelty. The dataset includes labeled and unlabeled images of the monitors.
Domain: Computer Vision, Image Processing, Machine Learning, Data Extraction, Healthcare
Summary: The challenge involves developing an AI/ML model to generate high-resolution (30cm) lunar terrain images from medium/low resolution (5m/10m) images obtained from Chandrayaan-2's OHRC and TMC-2 payloads. The developed model should be used to generate a global digital lunar atlas. The model's accuracy will be evaluated using Spectral Angle Mapper (SAM).
Domain: Machine Learning, Artificial Intelligence, Data Science, Image Processing, Simulation
Summary: The challenge is to devise a robotic system for autonomous charging of electric vehicles. The system should automatically detect the charging port of the vehicle, plug the charging plug into the socket, and unplug itself after the charging cycle is complete. The solution must consider physical constraints, use readily available components, and be simulated in MATLAB/Simulink. The final submission will include a presentation, simulation models, and CAD models.
Summary: The problem statement requires participants to develop and test price action trading strategies within the context of the Indian equities market. Participants will need to formulate a clear hypothesis, develop a low-frequency trading strategy, use the Blueshift platform for testing, and present their findings, including whether they accept or reject the hypothesis, along with a detailed performance analysis. The submission includes a presentation and a report detailing the methodology, assumptions, and results of the backtesting.
Domain: Algorithmic Trading, Finance, Data Analysis, Backtesting, Python, Statistics
2021 (10.0) - IIT Kharagpur - To Newer Horizons: In the Wake of the Pandemic
Prep Level: HIGH
Digital Alpha
Prep Level: HIGH
Summary: The challenge focuses on creating a common bottom-up framework to efficiently retrieve and parse data from the SEC's EDGAR database. This database contains vast amounts of documents, including press releases, annual corporate filings, executive employment agreements, and investment company holdings, which have historically been difficult for researchers to utilize due to the lack of a standardized retrieval and parsing method.
Domain: Data Science, Natural Language Processing, Financial Analysis, Document Processing, Machine Learning
PDF: NA
Bosch
Prep Level: HIGH
Summary: The problem involves understanding and demonstrating "model extraction attacks" on AI algorithms, specifically focusing on video-based Deep Learning algorithms. The goal is to show how valuable AI models, which are digital assets, can be breached and extracted by attackers, leading to potential financial loss, reputational damage, and loss of competitive advantage for organizations.
Domain: Cybersecurity, Artificial Intelligence, Machine Learning, Deep Learning, Video Classification, Model Security
PDF: NA
BlueYonder
Prep Level: HIGH
Summary: The problem addresses the critical need for efficient and sustainable supply chain models, especially in light of increased consumer demand and environmental impact (carbon footprint) exacerbated by the COVID-19 pandemic. Participants are challenged to design supply chain solutions that are both efficient and environmentally responsible.
Domain: Supply Chain Management, Logistics, Optimization, Sustainability, Data Science
PDF: NA
Silicon Labs
Prep Level: HIGH
Summary: The challenge explores the role of the Internet of Things (IoT) in fostering social entrepreneurship. Participants are tasked with leveraging IoT's high connectivity to design profit-making business models that also create a positive societal impact, thereby contributing to the growth of socially conscious associations.
Domain: Social Entrepreneurship, Internet of Things (IoT), Business Innovation, Technology for Good
PDF: NA
Prep Level: MID
ISRO
Prep Level: MID
Summary: The task is to design a standalone web-based application using open-source software capable of automatically identifying and categorizing solar bursts based on X-ray energy data obtained from cosmic sources, including the Sun. The system should simplify the analysis of intermittent X-ray bursts, whose amplitude and duration vary depending on the source.
Domain: Astronomy, Space Science, Data Analysis, Web Development, Machine Learning, Signal Processing
PDF: NA
DRDO
Prep Level: MID
Summary: The challenge involves developing a combined system of an Unmanned Ground Vehicle (UGV) and a guiding Unmanned Aerial Vehicle (UAV). This system should be capable of mapping and navigating challenging mountainous terrain without encountering stability issues or "collapsing," aiming to create robust autonomous navigation solutions.
Domain: Robotics, Unmanned Aerial Vehicles (UAV), Unmanned Ground Vehicles (UGV), Navigation, Mapping, Control Systems
PDF: NA
Mudrex
Prep Level: MID
Summary: The competition's objective is to create a profitable automated trading bot using the Mudrex Visual Builder. Participants will gain access to Premium Mudrex Accounts to develop, backtest, and refine their trading strategies for predefined assets on specific exchanges.
Summary: The problem requires developing a system capable of estimating the gender and age of individuals from surveillance video feeds. The solution must account for practical challenges such as low-quality cameras and cameras placed at a height, common in environments like malls, retail stores, or hospitals.
Summary: The challenge is to conceptualize and design a "powered bonnet" for electric vehicles (EVs). Leveraging the freed-up space in the front (frunk) due to the absence of an engine, the goal is to create an automated opening and closing mechanism for the front boot/trunk, enhancing user convenience and adding a luxury feature.
Domain: Mechanical Engineering, Automotive Design, Electric Vehicles, Automation, Product Design
PDF: NA
BlueYonder
Prep Level: LOW
Summary: The problem focuses on optimizing next-generation delivery ecosystems, particularly those incorporating drone technology. Participants need to develop a sustainable drone deployment plan, including flight path and routing details, to service customers at the lowest possible cost, aiming for mass implementation of automated delivery systems.
Summary: The challenge is to devise a growth strategy for GMetri, a no-code Metaverse builder. The strategy should capitalize on GMetri's ability to enable businesses to create immersive VR experiences for training modules, online stores, and product showcases, aiming to boost retention and cut training time within the learning industry.
Domain: Metaverse, Virtual Reality, Business Strategy, Product Marketing, EdTech, No-Code Development
PDF: NA
Mercari
Prep Level: LOW
Summary: This hackathon focuses on large-scale system design, inspired by Mercari's community-powered C2C marketplace. Participants are tasked with developing a geographically scalable and accessible Hospital Management System (HMS), drawing inspiration from India's National Digital Health Mission (NHM), to digitize and manage patient data, prescriptions, and reports on a national scale.
Domain: System Design, Scalability, Healthcare IT, Database Management, Software Architecture, Digital Transformation
PDF: NA
2020 (9.0) - IIT Guwahati - Pandemic, Paranoia, and Possibilities
Prep Level: HIGH
Bosch
Prep Level: HIGH
Summary: The problem addresses a key challenge in achieving L5 fully autonomous vehicles: traffic sign recognition. Participants are tasked with solving this problem to enable autonomous vehicles to accurately perceive and interpret traffic signs, moving closer to the goal of completely self-driving transportation.
Summary: The challenge involves developing an automated system for generating headlines and analyzing sentiment from digital content. This system aims to assist experts in synthesizing large volumes of digital information efficiently, thereby aiding in faster and more informed decision-making.
Domain: Natural Language Processing, Machine Learning, Artificial Intelligence, Sentiment Analysis, Text Generation, Data Science
PDF: NA
Drishtee
Prep Level: HIGH
Summary: Participants are required to propose and develop tech-led innovations (products or services) aimed at empowering rural entrepreneurs and communities. This includes utilizing technology to upskill rural youth, improve market linkages, enhance marketing efforts, and optimize supply chains for products and services moving between rural, semi-urban, and urban markets, all in a profitable and sustainable manner.
Domain: Social Entrepreneurship, Rural Development, Technology Solutions, Supply Chain Management, Market Linkages, Product Development
PDF: NA
Prep Level: MID
DRDO DRGE
Prep Level: MID
Summary: The problem involves designing an autonomous drone specifically for search and rescue operations in complex, inaccessible, and dynamic environments like those affected by flash floods. The drone must be capable of vision-based obstacle avoidance to navigate efficiently and reach target destinations, thereby improving response rates in disaster scenarios.
Summary: The challenge is to develop a web-based visualization tool for AstroSat observations. This tool should enable users to identify scientific products from cosmic sources and generate maps displaying their positions, making AstroSat data publicly accessible and interpretable.
Domain: Astronomy, Web Development, Data Visualization, Space Science, Data Analysis
PDF: NA
Bosch
Prep Level: MID
Summary: The problem focuses on electric vehicle (EV) simulation within the Indian context. Given India's significant automobile market, high oil import dependency, and alarming pollution levels, participants are tasked with developing simulations related to EVs, supporting the country's push towards EV adoption.
Domain: Electric Vehicles, Simulation, Automotive Engineering, Renewable Energy, Policy Analysis
PDF: NA
Prep Level: LOW
QuantInsti
Prep Level: LOW
Summary: The competition involves developing and implementing a systematic algorithmic trading strategy for US stock markets. Participants will use the Alpaca and Blueshift platforms for paper-trading, focusing on automating alpha discovery and risk allocation, and gaining practical experience in quantitative trading.
Summary: A product case study competition where participants are given a case (to be released on March 23rd) and are expected to analyze it and propose solutions related to product management.
Domain: Product Management, Case Study, Business Strategy
PDF: NA
Saptang Labs
Prep Level: LOW
Summary: This hackathon challenges participants to identify and exploit known real-world cybersecurity vulnerabilities (CVEs). Teams are required to understand a given vulnerability, set up an environment to test it, and develop a Proof-of-Concept (PoC) exploit.
Domain: Cybersecurity, Network Security, Ethical Hacking, Vulnerability Assessment, Exploit Development
Summary: The problem asks participants to design a practically feasible method and apparatus for harvesting dissipated energy from a car's suspension dampers. The goal is to convert the vibrational energy, normally wasted as heat, into usable energy, thereby improving energy efficiency and occupant comfort.
Domain: Mechanical Engineering, Automotive Engineering, Energy Harvesting, Renewable Energy, Suspension Systems