Welcome to our comprehensive collection of problem statements for HackSpire'25! We've compiled a diverse range of challenges across multiple domains to inspire your creativity and innovation.
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Notice:
HackSpire’25 is open to all participants, which means you have the freedom to choose any problem or idea for your project. On our website, we have provided some suggested domains to help you get started and guide your project development. If your idea does not fit within these domains, it will automatically be considered under Open Innovation, giving you complete freedom to explore and implement your own concepts.
We will also provide a set of sample problem statements when the PPT submission starts. Please remember that you are not required to select from these statements—they are only suggested to make it easier for you to choose a project quickly. If you have a different idea or an innovative concept in mind, you are free to pursue it without any restrictions.
Our goal is to encourage creativity, innovation, and practical problem-solving, so feel free to explore your own ideas while keeping the provided statements and domains as helpful references.
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| Domains | Problem Topic | Problem Statements |
|---|---|---|
| AI (Artificial Intelligence) | Data mining | Fraud detection in e-commerce promotion links containing coupon codes is a major challenge faced by online platforms today. Users often exploit coupons through fake accounts, referral link abuse, automated bots, and link tampering, leading to financial losses and broken trust. The solution is to design an AI-driven fraud detection system that uses data mining techniques such as anomaly detection, clustering, and graph analysis to identify suspicious coupon activity in real time. The platform should analyze user behavior, device/IP patterns, and transaction frequency to flag abnormal usage. A machine learning model can automatically block fraudulent transactions while allowing genuine customers a seamless experience. This system ensures secure coupon distribution, protects business revenue, and improves customer trust in e-commerce promotions. |
| AI (Artificial Intelligence) | Fake Product Review Detection | Build an ML-powered Fake Review Classifier that helps e‑commerce platforms detect spam, paid promotions, and misleading product reviews by combining textual signals (sentiment, toxicity, lexical anomalies, repetition/templating) with behavioral features (reviewer history, rating bursts, IP/device fingerprints, time-of-post patterns) and network signals (reviewer-review relationships, co-review clusters). The system should score each review in real time, flag suspicious items, and produce human-readable explanations (e.g., “extreme positive sentiment + repeated phrasing + new account with 50 reviews in 2 days → likely paid spam”) so moderators can triage quickly. Include model explainability (SHAP/LIME-style highlights), a thresholded policy engine for auto-hiding or queuing for manual review, and dashboards showing spam hotspots, reviewer reputation, and campaign-level alerts. Prioritize precision for moderator trust, support continual learning with feedback loops, and provide APIs/webhooks for platform integration and automated takedown workflows. |
| AI (Artificial Intelligence) | AI-based drop-out prediction and counseling system | By the time term-end results reveal failing students, many learners have already disengaged beyond recovery. The challenge is to develop an AI-powered dropout prediction and counseling system that integrates scattered data—attendance records, test scores, fee payments—into a single consolidated dashboard. The system should analyze risk indicators like declining attendance, repeated failed attempts, and falling test scores using rule-based thresholds or lightweight ML models, and provide color-coded visual alerts for mentors and counselors. Automated notifications to educators and guardians ensure timely intervention, empowering them to support at-risk students before disengagement becomes irreversible. Designed to be easy to configure, low-maintenance, and transparent, this solution focuses on practical data fusion, early warning, and actionable insights, enabling public institutes to reduce dropout rates without expensive commercial platforms. |
| AI (Artificial Intelligence) | Intelligent Supply Chain Optimization & Waste Reduction System | In many industries, inefficient supply chains lead to delays, overstocking, and product wastage, especially in perishable goods like food, pharmaceuticals, and FMCG. The challenge is to build an AI-powered platform that analyzes demand patterns, inventory levels, transportation data, and supplier performance to optimize supply chain decisions in real time. The system should predict demand surges, suggest dynamic inventory allocation, and minimize wastage while providing actionable insights to managers. Leveraging machine learning, predictive analytics, and real-time data processing, this solution can reduce operational costs, improve delivery efficiency, and enhance sustainability across industries. |
| Agriculture | Smart Crop Disease Detection | Farmers often fail to detect crop diseases early, which leads to reduced yield, poor quality produce, and financial losses. The challenge is to develop an AI/ML-powered solution that can identify crop diseases in real time using image recognition, IoT sensors, or drones. The system should allow farmers to capture images of crops or collect field data, classify diseases accurately, and provide actionable remedies or preventive measures. Additional features may include multilingual voice support, offline functionality for rural areas, predictive analytics for forecasting disease outbreaks, and a dashboard for agricultural experts to monitor trends. This smart crop disease detection platform aims to empower farmers, improve crop yield, and promote a data-driven approach to sustainable agriculture. |
| Agriculture | Development of a Digital Farm Management Portal for Monitoring maximum Residue Limits (MRL) and Antimicrobial Usage (AMU) in Livestock | Antimicrobials play a crucial role in maintaining livestock health, but their inappropriate or excessive use can result in drug residues in animal-derived food and accelerate antimicrobial resistance (AMR), a global health threat. The challenge is to develop a centralized digital platform that enables real-time monitoring and management of antimicrobial usage (AMU) across farms. The system should allow farmers and veterinarians to log treatments, dosages, administration methods, and withdrawal periods through a mobile or web interface, integrate veterinary prescriptions, and provide automated alerts for MRL compliance before animal products are sold or processed. Dashboards and data visualization tools should allow authorities to track AMU trends by species, region, and time period, while blockchain or secure technologies ensure data integrity and traceability. By enabling data-driven decision-making, trend analysis, and automated reporting, this platform promotes responsible antimicrobial stewardship, ensures safer livestock products, strengthens public trust, and contributes to the reduction of AMR at both farm and policy level. |
| Agriculture | Smart Irrigation & Soil Health Monitoring System | Water scarcity and inefficient irrigation practices continue to hamper agricultural productivity. The challenge is to develop an IoT and AI-powered smart irrigation platform that continuously monitors soil moisture, nutrient levels, and weather conditions to optimize water and fertilizer usage. The system should provide real-time mobile alerts, automated irrigation scheduling, and predictive insights for farmers, ensuring crops receive the right amount of water and nutrients at the right time. By combining sensor data, AI-driven predictions, and actionable recommendations, this platform empowers farmers to maximize yield, reduce resource wastage, and practice sustainable agriculture. |
| Blockchain | NFT-based Real-world Asset Ownership & Micro-Investments | High-value physical assets like real estate, artwork, collectibles, or luxury items remain inaccessible to most users due to high costs and centralized ownership models. The challenge is to develop a full-stack dApp on the Aptos blockchain that allows users to tokenize real-world assets into NFTs and enable fractional ownership and micro-investments. The system should include a web or mobile interface where users can browse assets, purchase fractional NFTs, view ownership history, and track asset performance. On the backend, smart contracts will handle ownership verification, transfer of shares, and secure payments on-chain, ensuring transparency and trust. Additional features may include real-time portfolio dashboards, asset valuation analytics, automated dividend or revenue distribution, and optional integration with physical asset verification services. This platform democratizes access to valuable assets, introduces liquidity to traditionally illiquid markets, and provides a secure, decentralized investment ecosystem for both retail and institutional users. This problem statement contains $25 bounty for the team. |
| Blockchain | Smart Tourist Safety Monitoring & Incident Response System using Al, Geo-Fencing, and Blockchain-based Digital ID | Tourist safety in high-risk or remote areas remains a significant challenge due to limited policing and manual tracking methods. This project proposes a smart digital ecosystem leveraging AI, Blockchain, and Geo-Fencing to ensure real-time monitoring, rapid incident response, and secure identity verification. Tourists receive blockchain-based digital IDs containing KYC, itinerary, and emergency contacts valid for their visit. A mobile app provides geo-fencing alerts, panic button with live location sharing, optional family tracking, and a Tourist Safety Score based on travel patterns. AI models detect anomalies such as route deviations, prolonged inactivity, or distress behavior, triggering alerts to authorities. Police and tourism departments access real-time dashboards with heatmaps, alert history, and automated e-FIR generation. Optional IoT integration via smart bands provides continuous health and location signals, while multilingual support ensures accessibility. The system maintains end-to-end data privacy, enabling secure, efficient, and proactive tourist safety management. |
| Blockchain | Decentralized Intellectual Property Marketplace | Creators and inventors often face challenges in proving ownership of digital or physical innovations and monetizing them efficiently. The challenge is to build a blockchain-based decentralized platform where users can mint their intellectual property as NFTs, timestamp creations, and enforce fractional licensing or royalty distribution automatically via smart contracts. The system ensures transparent, tamper-proof ownership records, automatic revenue sharing, and global accessibility, enabling artists, developers, and innovators to protect and monetize their creations without intermediaries. |
| Blockchain | Blockchain-Powered Supply Chain Transparency & Anti-Counterfeit System | Counterfeit goods are a major concern across pharmaceuticals, electronics, and luxury markets. The challenge is to develop a blockchain-integrated supply chain solution where each product batch is tokenized and tracked across manufacturers, distributors, and retailers, with IoT sensors logging environmental conditions, transport routes, and handling. Smart contracts validate authenticity at each checkpoint, providing tamper-proof, verifiable product histories, increasing consumer trust, reducing fraud, and enabling authorities to quickly trace issues in case of defective or counterfeit goods. |
| Blockchain | Decentralized Skill & Credential Verification Network | Credential fraud and slow verification processes hinder global hiring and professional trust. The challenge is to create a blockchain-based platform where educational institutions, employers, and professionals can issue verifiable credentials as NFTs or DID tokens. Recruiters and organizations can instantly verify authenticity, track endorsements, and maintain a trustless global credential network. Smart contracts enforce expiry, updates, and access permissions, empowering a transparent and fraud-resistant ecosystem for employment, education, and professional recognition. |
| Cybersecurity | AI-Powered Phishing Website Detection | Phishing attacks remain a major threat to online users, often tricking individuals into sharing sensitive credentials through malicious websites. The challenge is to develop an intelligent phishing detection system that analyzes website URLs, HTML structures, SSL certificate details, and other relevant features to classify sites as safe or malicious. The system should leverage ML and LLM models for real-time detection, providing instant alerts and blocking phishing attempts before users can interact with harmful sites. Using datasets like PhishTank and Kaggle’s Phishing Websites dataset, the platform can learn patterns of phishing behavior, including domain anomalies, suspicious content, and certificate irregularities. Built with Python, Scikit-learn, TensorFlow, Flask, and BeautifulSoup, the system can offer a web or browser-based interface for users, deliver actionable insights, and continuously update its models. This solution empowers users with proactive protection against credential theft and online scams, enhancing overall digital safety and trust. |
| Cybersecurity | AI-Driven Insider Threat Detection & Mitigation System | Organizations face massive risks not just from external hackers but from insider threats—employees or contractors misusing access to steal sensitive data, sabotage systems, or exfiltrate intellectual property. The challenge is to develop an AI-powered system that monitors user behavior across endpoints, networks, and cloud environments, detecting anomalies like unusual access patterns, privilege escalations, or data exfiltration attempts in real time. The system should combine behavioral analytics, NLP on emails/chats, and anomaly detection models, provide risk scoring for users, generate actionable alerts, and allow automated or semi-automated mitigation (like temporary access suspension or sandboxing suspicious activity). Integration with dashboards for security teams, continuous learning from incidents, and explainable AI outputs ensures both proactive threat prevention and audit compliance. |
| Cybersecurity | Smart Intrusion Detection System using Machine Learning | Cybersecurity threats like DoS attacks, port scanning, and unauthorized access pose significant risks to enterprise and campus networks. The challenge is to build an AI-driven intrusion detection system that continuously monitors network traffic, classifies normal versus suspicious activity using ML algorithms, and provides real-time alerts for potential attacks. Leveraging datasets such as NSL-KDD and CICIDS2017, the system can learn patterns of malicious behavior, including unusual traffic spikes, abnormal packet sequences, and unauthorized access attempts. Built with Python, Scikit-learn, TensorFlow/PyTorch, Wireshark, and Flask, the platform should offer a dashboard for network admins to visualize threats, review attack logs, and take preventive action. This solution strengthens cybersecurity by enabling early detection of attacks, reducing breaches, and ensuring secure communication within organizational networks. |
| Gaming | Decentralized VR/AR Coding Battle Arena with Adaptive Cyber-Enemies. | Build a full‑stack VR/AR multiplayer battle arena where players enter a rich 3D virtual world filled with procedurally generated obstacles, STEM-based puzzles, and high‑fidelity graphics. Players must solve coding and math challenges to create, program, and upgrade weapons, tools, and defensive routines — but powerful AI-driven cyber-enemies roam the arena with the ability to probe, corrupt, or destroy players’ programs, forcing on-the-fly debugging and defensive coding under pressure. Players can choose to be heroes or turn into villains: villains can design obstacles, spawn traps, or deploy sabotaging agents against other players, while cooperative teams can face off against an evolving final boss that adapts to team strategies. The platform supports real‑time multiplayer interactions, spatial audio, avatar customization, and blockchain-based ownership of weapons, creations, and achievements so in‑game assets are tradable and provably unique. The challenge is to merge immersive VR/AR gameplay with live coding, adversarial AI, procedural level design, and decentralized asset management to create an engaging, educational, and competitive experience that rewards creativity, strategy, and resilience |
| Gaming | AI-Driven Multiplayer Puzzle Combat Game | Modern gaming experiences demand immersive, strategic, and educational gameplay. The challenge is to develop a multiplayer game where players navigate a virtual world filled with programmable obstacles, puzzles, and challenges that require logic, math, and coding skills to overcome. Players can design their own weapons or tools using in-game programming mechanics, and face high-tech AI enemies capable of analyzing and breaking player strategies. The game allows players to take on villain roles, create obstacles for others, and engage in dynamic PvP and PvE interactions, including a final boss or ultimate challenge. Using interactive 2D or 3D graphics, the game provides engaging visuals and gameplay, while real-time tracking, leaderboards, and performance analytics enhance competitiveness and strategy. This project combines programming, logic, AI, and immersive graphics to deliver a next-gen multiplayer gaming experience without the need for AR/VR hardware. |
| Healthcare | Smart Ambulance Booking | Ambulance services are critical for Health & Medical facilities. The requirement is to build a mobile app similar to Ola/Uber but dedicated to Ambulance services. Ambulance drivers will register their availability and location, while both Emergency Helpline Executives and Users can book an ambulance instantly. The system must provide 24Ă—7 booking from any location, secure payment methods, and nearest hospital information. Key features include real-time GPS tracking, AI-powered smart dispatch to assign the nearest ambulance, predictive traffic-based routing, voice-assisted booking, automatic SOS alerts, intelligent hospital recommendations, multi-language support, live communication between user, driver, and hospital, as well as analytics dashboards for monitoring response times and service quality. |
| Healthcare | Mental Health Support Chatbot | Mental health issues like stress, anxiety, and depression often go unaddressed due to stigma, lack of access, or delayed support. The challenge is to develop an NLP-powered empathetic chatbot that can understand user messages, detect emotional states, and provide supportive responses in real time. The system should offer preliminary guidance, coping strategies, and referrals to certified mental health professionals when necessary. Using sentiment analysis, intent recognition, and conversational AI techniques, the chatbot can maintain empathetic and context-aware interactions, track conversation history, and flag critical cases for immediate human intervention. Built with scalable AI frameworks, this platform empowers patients with accessible, safe, and confidential support, bridging the gap between mental health needs and professional care. |
| Healthcare | Development of a Digital Mental Health and Psychological Support System for Students in Higher Education | Mental health challenges among students often go unnoticed until they escalate, and access to timely support can be limited. The challenge is to develop a web and mobile-based Digital Psychological Intervention System that provides comprehensive mental wellness support. The platform should feature an interactive AI-powered chatbox offering coping strategies, initial assessments, and referrals to on-campus counselors or mental health helplines. It should also provide multilingual videos, guided relaxation audios, and wellness resources tailored to regional languages for inclusive access. Students can engage in peer-to-peer support forums moderated by trained volunteers, fostering a safe community space. Additionally, the system should collect anonymous analytics to help authorities identify trends, monitor mental health indicators, and plan proactive interventions. By combining real-time support, educational resources, peer networks, and data-driven insights, this platform empowers students, strengthens mental health infrastructure, and promotes early, accessible psychological intervention. |
| Healthcare | Interactive Virtual Herbal Garden | Traditional medicinal plants play a crucial role in AYUSH practices, but access to knowledge about these herbs is often limited to textbooks or physical visits. The challenge is to develop a virtual herbal garden platform—web-based or VR/AR-enabled—that offers an interactive, immersive, and educational experience. Users should be able to explore medicinal plants in 3D, learn about their therapeutic properties, cultivation methods, and traditional uses, and interact with AI-powered guides or chatbots for additional insights. The system can incorporate quizzes, AR overlays, and simulation-based learning modules to make the experience engaging for students, practitioners, and enthusiasts. By combining interactive visuals, gamification, and rich educational content, this platform promotes awareness of herbal medicine, preserves traditional knowledge, and provides a scalable, accessible tool for learning about AYUSH therapies. |
| Internet of Things (IoT) | Affordable Smart Security for Indian Homes | Middle-class and rural households in India often lack access to affordable and effective home security systems, leaving them vulnerable to theft, burglary, and property damage. The challenge is to develop a smart, low-cost IoT-based home security solution that can monitor homes in real time, detect unusual activity, and alert homeowners instantly. The system can include sensors for doors, windows, and motion detection, along with cameras that stream live video to a mobile app. Additional features may include automated alarms, remote monitoring, and integration with local authorities or neighborhood alert networks. The solution should be cost-effective, easy to install, and operable even in areas with intermittent internet connectivity, ensuring that Indian households can protect their homes with technology-driven intelligence. |
| Internet of Things (IoT) | Urban Drainage Blockage Detection and Monitoring System | Urban drainage systems in West Bengal and across India often lack real-time monitoring, resulting in sudden flooding when drains get blocked by debris, waste, or sediment. Municipal authorities currently rely on manual inspections and citizen complaints, making maintenance reactive rather than preventive. This project proposes a real-time drainage monitoring system that can detect blockages, pinpoint exact locations within extensive drain networks, and provide early warnings to authorities for timely intervention. By integrating IoT sensors, water flow measurement, and predictive analytics, the system can alert municipal teams before flooding occurs, optimize deployment of maintenance resources, and prevent traffic disruptions, property damage, and public health hazards. The solution aims to transform drainage management from a reactive process to a data-driven, proactive system, enhancing urban resilience and public safety. |
| Internet of Things (IoT) | Early Flood Detection and Citizen Alert Mobile Application | During monsoon season, citizens in India often receive flood warnings only after water levels have risen dangerously, leaving little time for evacuation or precautionary measures. The challenge is to develop a mobile application integrated with IoT sensors that collects real-time data on rainfall, soil saturation, water levels, and drainage conditions, while also leveraging crowdsourced reports from local residents. The app should provide hyperlocal flood predictions at least 24 hours in advance, generate actionable alerts, suggest safe evacuation routes, and offer safety guidance tailored to each neighborhood. |
| Robotics | AI-Powered Emergency Response Drones & Robots | India faces critical challenges in emergency response, from medical crises to search and rescue operations in remote or disaster-affected areas. The challenge is to develop autonomous drones and robots capable of navigating complex environments to deliver medical supplies, assist in locating survivors, or provide situational awareness to rescue teams. These systems should integrate computer vision, IoT sensors, and AI-based navigation to operate safely and efficiently, even in GPS-denied or hazardous conditions. By combining real-time data analytics, obstacle avoidance, and autonomous decision-making, the platform can drastically reduce response times, enhance operational effectiveness, and save lives during critical situations. |
| Robotics | Autonomous Urban Maintenance Robot for Smart Cities | Urban infrastructure—roads, streetlights, drainage systems, and public utilities—faces constant wear and tear, but manual inspection and maintenance are slow, unsafe, and inefficient. The challenge is to develop an autonomous multi-functional robot capable of navigating city streets, detecting faults, performing minor repairs, and reporting issues in real time. The robot should integrate computer vision, AI-based anomaly detection, IoT sensors, and robotic manipulators to inspect pavements, unclog drains, fix streetlights, or clean public spaces. By enabling continuous, automated urban maintenance, the system can reduce operational costs, improve public safety, and make smart cities more sustainable and responsive. |
| Robotics | Autonomous Disaster Response Robot | Natural disasters like floods, earthquakes, and landslides often leave human rescuers at risk and slow down relief operations. The challenge is to develop an autonomous robot capable of navigating hazardous terrains, locating survivors, and delivering essential supplies. The robot should integrate AI for obstacle avoidance, real-time mapping, and decision-making, while optionally using drones or robotic arms to assist in search and rescue. This system enhances speed, safety, and efficiency in disaster response, saving lives in critical situations. |
| Open Innovation | LLMWare-Powered Intelligent Document Verification System | Traditional document verification processes in sectors like education, healthcare, and finance are often slow, manual, and error-prone. The challenge is to develop a web or mobile platform using LLMWare that leverages LLM pipelines and RAG workflows to automatically analyze, validate, and summarize key information from documents such as certificates, medical records, or financial statements. The system should provide real-time verification insights, contextual explanations, and alerts for anomalies, enabling faster, accurate, and AI-driven document management without relying on blockchain. |
| Open Innovation | Full-Stack LMS with Multimedia and Mathematical Content | Modern learning requires platforms that are interactive, multimedia-rich, and adaptive to student needs. The challenge is to develop a full-stack Learning Management System (LMS) with a web-based admin panel and a React Native (Expo) mobile app. The admin panel should allow educators to upload videos, create quizzes, and author notes using LaTeX or similar packages, enabling precise rendering of mathematical symbols, formulas, and rich text as strings. The mobile app should display all content seamlessly, support video sharing via social platforms, allow downloadable notes, and provide interactive quizzes. To enhance learning, the system can integrate AI-powered features such as personalized study recommendations, automatic content summarization, predictive performance analytics, and intelligent question hints. Additional engagement tools like discussion forums, in-app search, multi-language support, and progress tracking dashboards ensure that students remain motivated, informed, and connected. This LMS aims to deliver a scalable, adaptive, and highly interactive educational experience that combines multimedia learning with AI-driven personalization, accessible entirely from web and mobile platforms. |
| Open Innovation | Women Safety Analytics – Protecting Women from safety threats | With the alarming rise in crimes against women in urban areas, there is a critical need for intelligent, real-time safety solutions. The challenge is to develop a smart surveillance system that uses AI, computer vision, and IoT sensors to monitor public spaces, detect suspicious or potentially dangerous behavior, and send instant alerts to law enforcement and designated emergency contacts. The system should provide predictive analytics to identify high-risk areas, enable rapid response during incidents, and allow authorities to analyze crime patterns for preventive measures. Additionally, the platform can integrate mobile alerts, geofencing, and panic buttons to empower women with proactive safety measures, ensuring safer urban environments and faster intervention in emergencies. |
| Open Innovation | AI Agent Marketplace for Custom Workflows using Axicov | With the growing demand for AI-driven solutions, developers and businesses need a way to create, deploy, and manage custom AI agents efficiently. However, building these agents usually requires extensive backend infrastructure and technical expertise. The challenge is to leverage Axicov to build an AI Agent Marketplace where users can design agents for specific workflows, deploy them instantly via plug-and-play APIs, manage environment variables securely, and integrate multiple agents into complex workflows. The platform should also allow users to track usage, gain analytics insights, and optionally monetize their agents, while others can discover and deploy these agents to solve diverse tasks. By using Axicov, this marketplace democratizes AI agent deployment, enabling rapid prototyping, scaling, and innovation across industries. |