1Government 2 PS
Government
Problem Statements
#ps41PS-07 — Jansunwai grievance resolution agent
UP's Jansunwai portal receives millions of complaints but resolution is slow and opaque. Build an AI agent that auto-classifies grievances, assigns them to the right department, follows up autonomously, and sends vernacular status updates to citizens.
Lucknow context: Jansunwai Portal · Lucknow Nagar Nigam
#ps42PS-08 — Encroachment and illegal construction detection agent
Lucknow's rapid urban growth leads to rampant illegal construction. Build an agent that ingests satellite imagery and drone feeds, detects new unauthorized structures, cross-checks building permits, and auto-generates notices to the LDA.
Lucknow context: LDA · Lucknow Development Authority
2SaaS 2 PS
SaaS
Problem Statements
#ps51PS-09 — Chikankari artisan business-in-a-box SaaS
Lucknow's 2.5 lakh chikankari artisans lack digital business infrastructure entirely. Build a SaaS agent that handles orders, client communication, GST filing, and export documentation autonomously for artisan clusters.
Lucknow context: Chikankari cluster · Chowk · Aminabad
#ps52PS-10 — Multi-tenant property management agent for Lucknow landlords
Lucknow's real estate boom has created thousands of small landlords managing PGs, flats, and commercial spaces manually. Build an agentic SaaS that handles rent collection, maintenance requests, and tenant onboarding end-to-end.
Lucknow context: Gomti Nagar · Aliganj · Indira Nagar
3D2C 2 PS
D2C
Problem Statements
#ps91PS-17 — AI stylist agent for Lucknow ethnic wear brands
Lucknow has a booming ethnic D2C market — kurtas, suits, sarees — but most brands lack any personalisation. Build an agent that acts as a personal stylist, understands occasion, budget, and preferences, and drives conversion for Lucknow-based brands.
Lucknow context: Lucknow ethnic wear D2C brands
#ps92PS-18 — Influencer-to-order agent for Lucknow's food content creators
Lucknow's food influencer scene is exploding but monetisation pipelines are broken and manual. Build an agent that identifies product opportunities from creator content, manages brand deal negotiations, and converts followers into orders.
Lucknow context: Lucknow food influencer community
4Education 2 PS
Education
Problem Statements
#ps21PS-03 — Vernacular AI tutor for UP Board students
Lakhs of UP Board students prepare in Hindi/Awadhi with little access to quality coaching. Build an agentic tutor that identifies learning gaps, generates practice questions from past papers, and adapts to each student's dialect and pace.
Lucknow context: UP Board · Hazratganj coaching belt
#ps22PS-04 — Skill-to-job matching agent for ITI Lucknow graduates
ITI Lucknow produces thousands of skilled tradespeople annually who struggle to find formal employment. Build an agent that maps their skills to live job openings, communicates on their behalf, and tracks placement outcomes.
Lucknow context: ITI Lucknow · Amausi industrial area
5Retail 2 PS
Retail
Problem Statements
#ps61PS-11 — Hyperlocal demand forecasting for Hazratganj street vendors
Hazratganj's iconic street market has vendors who over-stock or under-stock daily, leading to waste and lost revenue. Build an agent that reads footfall patterns, weather, local events, and social buzz to recommend optimal daily procurement.
Lucknow context: Hazratganj · Janpath Market
#ps62PS-12 — Agent-powered returns and exchange for Lucknow kiranas
Kiranas lose significant revenue to poorly managed returns and expiring stock. Build an agent that handles return requests via WhatsApp, auto-coordinates with distributors, and manages expiry-based stock rotation.
Lucknow context: Kirana clusters across Lucknow
6Finance 2 PS
Finance
Problem Statements
#ps71PS-13 — Credit scoring agent for chikankari and zardozi MSMEs
Lucknow's textile artisans are credit-invisible despite steady order flows. Build an agent that constructs alternative credit profiles from GST data, order history, and delivery records, and automatically applies to MUDRA and other government loan schemes.
Lucknow context: Chikankari · Zardozi MSME cluster
#ps72PS-14 — UPI dispute resolution agent for Lucknow's informal market traders
Thousands of traders in Nakhas and Aminabad face daily UPI disputes with no clear escalation path. Build an agentic layer that files, tracks, and resolves disputes autonomously across NPCI and bank portals.
Lucknow context: Nakhas · Aminabad bazaars
7Healthcare 2 PS
Healthcare
Problem Statements
#ps11PS-01 - AI triage agent for KGMU outpatient queues
KGMU handles thousands of OPD patients daily with no intelligent queue management. Build an agentic system that pre-triages patients via WhatsApp, predicts wait times, and routes critical cases automatically to the right department.
Lucknow context: KGMU · Lucknow Civil Hospital
#ps42PS-02 — Counterfeit medicine detection in Aminabad wholesale market
Aminabad is UP's largest wholesale medicine hub. Build an agent that cross-checks medicine batch numbers, GST invoices, and supplier databases in real time to flag counterfeit drugs at the point of purchase.
Lucknow context: Aminabad Dawa Bazar
8Logistics 2 PS
Logistics
Problem Statements
#ps31PS-05 — Last-mile routing agent for narrow gullies in old Lucknow
Chowk, Nakhas, and Yahiyaganj have unaddressable lanes that break standard delivery systems. Build an agentic system that learns hyper-local routing from delivery riders, auto-resolves failed deliveries, and continuously updates address intelligence.
Lucknow context: Chowk · Nakhas · Yahiyaganj
#ps32PS-06 — Cold-chain monitoring agent for Lucknow's perishables
Lucknow exports mangoes, gulab jamuns, and dairy products, all of which require strict cold-chain management. Build an agent that monitors temperature across warehouses and trucks, predicts spoilage risk, reroutes shipments proactively, and auto-files insurance claims on breach.
Lucknow context: Malihabad Mango Belt · Lucknow dairy cluster
9AI 2 PS
AI
Problem Statements
#ps82PS-16 — Multi-agent orchestration testbed for Indian bureaucratic workflows
Indian government workflows are multi-department, multi-language, and rule-heavy — perfect stress tests for agentic systems. Build a testbed where agent teams can simulate end-to-end workflows like property registration or pension disbursement in UP.
Lucknow context: UP Government offices · Lucknow
#ps81PS-15 — Awadhi language model fine-tuning and evaluation framework
Awadhi is spoken by crores of people but has zero production AI tooling. Build a pipeline to collect, clean, and fine-tune a small LLM on Awadhi, complete with an evaluation harness grounded in Lucknow's dialect and vocabulary.
Lucknow context: Awadhi-speaking belt · UP
10B2C 2 PS
B2C
Problem Statements
#ps111PS-21 — AI concierge for Lucknow's wedding and event industry
Lucknow hosts thousands of weddings annually across banquet halls and farmhouses, all planned manually. Build an agent that acts as a full event concierge — discovering, negotiating, and booking venues, catering, decor, and photographers end-to-end.
Lucknow context: Lucknow wedding belt · Gomti Nagar
#ps112PS-22 — Personalised health plan agent for Lucknow's working-class neighbourhoods
Alambagh, Rajajipuram, and Chinhat have dense working populations with rising lifestyle disease and limited health awareness. Build an agent that creates hyper-local, affordable diet and fitness plans using local food options and available government health schemes.
Lucknow context: Alambagh · Rajajipuram · Chinhat
11B2B 2 PS
B2B
Problem Statements
#ps101PS-19 — Supplier discovery and vetting agent for UP's construction boom
Lucknow's infrastructure projects need verified suppliers of steel, cement, and labour, but procurement is opaque. Build an agent that discovers, vets, and connects contractors with pre-verified suppliers using GST records and compliance data.
Lucknow context: Lucknow Smart City · Ring Road projects
#ps102PS-20 — MSME invoice discounting agent for Lucknow industrial cluster
Amausi and Unnao Road MSMEs are cash-constrained while waiting on 60–90 day payment cycles. Build an agent that packages invoices, identifies the best discounting partner, and executes the transaction with minimal human intervention.
Lucknow context: Amausi Industrial Area · Unnao Road
12Cricket 2 PS
Cricket
Problem Statements
#ps121PS-23 — Agentic talent scouting system for grassroots cricket in Lucknow
Lucknow has a thriving gully cricket and club cricket culture — from Ekana Stadium's shadow to the maidan matches in Aliganj and Rajajipuram — but raw talent rarely gets discovered through formal channels. Build an agentic system that analyzes match footage from mobile phones, scores players on standardized metrics, and autonomously reaches out to UP Cricket Association selectors and academies on promising players' behalf.
Lucknow context: Ekana Cricket Stadium · UP Cricket Association · Aliganj & Rajajipuram maidans
#ps122PS-24 — AI-powered IPL fan engagement and local commerce agent for Lucknow Super Giants
LSG has built a massive fanbase in Lucknow but fan engagement drops sharply between match days and local merchandise/ticketing ecosystems are fragmented. Build an agent that keeps fans engaged year-round through personalized content, manages ticket discovery and resale, and connects local vendors and food stalls around Ekana to matchday footfall opportunities.
Lucknow context: Lucknow Super Giants · Ekana Cricket Stadium · Hazratganj fan zones
13Sports 2 PS
Sports
Problem Statements
#ps131PS-25 — Agentic sports infrastructure discovery and booking platform for Lucknow
Lucknow has hundreds of badminton courts, football turfs, swimming pools, and kabaddi akharas scattered across the city — from Gomti Nagar to Chinhat — but there is no unified discovery or booking layer. Build an agent that maps all sports infrastructure in real time, handles bookings and cancellations autonomously, and recommends facilities based on user skill level, location, and budget.
Lucknow context: Gomti Nagar sports complexes · Chinhat turfs · SAI Lucknow center · Lohia Park
#ps132PS-26 — Injury prevention and recovery agent for UP's kabaddi and wrestling athletes
UP has a deep wrestling and kabaddi tradition — Lucknow's akharas and the Janakipuram Sports Complex produce state and national-level athletes — but sports medicine access is nearly non-existent for most. Build an agentic system that monitors training load via wearables or video, predicts injury risk, recommends vernacular recovery protocols, and connects athletes to the nearest available physio or sports doctor.
Lucknow context: Lucknow akharas · Janakipuram Sports Complex · UP Kabaddi Association
14Open 1 PS
Open
Problem Statements
#ps141Miscellaneous Problem Statement, create your own solution smartly
