The AI Hackathon is an inter-college and inter-university competition in Bangladesh, aiming to address urban and industry-specific challenges using AI. It brings together students, researchers, and young innovators to develop AI-driven solutions in key sectors, including City Management, Manufacturing, Education, Agriculture, Fintech, and Healthcare. Beyond a competition, it serves as a platform for innovation, collaboration, and shaping the country’s future with advanced AI solutions.
-
City Problems – Traffic Congestion,
Waste Management, Pollution Control, Smart Infrastructure
( Only For Students) -
Manufacturing – Process Optimization, Automation,
Quality Control, Supply Chain Efficiency -
Education – AI-Driven Personalized Learning,
Accessibility, Content Curation, Skill Development -
Agriculture – Smart Farming, Predictive Analytics,
Irrigation Solutions, Pest Control -
Fintech – Financial Inclusion, Fraud Detection,
AI-Driven Credit Scoring, Secure Transactions -
Healthcare – AI-Driven Diagnosis, Remote Patient Monitoring,
Predictive Analytics, and Smart Healthcare Systems
Bangladesh’s rapid urbanization has led to significant challenges in city management, particularly in traffic congestion, inefficient waste disposal, rising pollution levels, and outdated infrastructure. AI can revolutionize urban planning by analyzing traffic patterns in real-time, optimizing public transportation schedules, and introducing smart traffic light systems that adjust dynamically based on congestion levels. In waste management, AI-driven automated sorting systems, route optimization for waste collection, and predictive maintenance of disposal units can enhance efficiency. AI based air quality monitoring and pollution prediction models can help authorities take proactive steps in combating environmental degradation. Smart infrastructure solutions like AI-powered energy consumption tracking, building automation, and flood risk prediction systems can lead to more sustainable and resilient cities.
Bangladesh’s manufacturing sector is one of its economic pillars, yet it faces inefficiencies in production, quality control, and supply chain management. AI-driven predictive maintenance can prevent unexpected machinery failures, reducing downtime and increasing productivity. Computer vision-powered quality control systems can detect defects in real-time, ensuring higher product consistency while reducing waste. Automation using AI and robotics can enhance repetitive manufacturing processes, increasing precision and efficiency. AI-driven demand forecasting models can improve inventory management, helping businesses reduce excess stock while meeting market demand. Additionally, AI-powered logistics optimization can improve supply chain transparency, minimize delays, and cut down operational costs, making Bangladesh’s manufacturing sector more competitive on a global scale.
Education in Bangladesh is undergoing a transformation, with a growing need for personalized and accessible learning solutions. AI-powered adaptive learning platforms can customize study plans based on students’ progress, learning speed, and weaknesses, ensuring better engagement and outcomes. AI chatbots and virtual assistants can provide 24/7 tutoring support, reducing dependency on traditional classroom settings. In special needs education, AI-powered speech recognition and text to-speech tools can help students with disabilities access learning materials effectively. Automated content curation using AI can help educators create customized lesson plans, filtering out irrelevant information and focusing on contextual, high-quality content. Furthermore, AI-based career guidance systems can analyze students’ strengths and market trends to recommend personalized career paths and skill development programs, preparing them for the evolving job market.
Agriculture remains a crucial sector in Bangladesh’s economy, but climate change, resource mismanagement, and outdated farming techniques threaten its sustainability. AI can empower farmers with predictive analytics models that analyze weather patterns, soil quality, and crop health to optimize planting and harvesting schedules. Smart irrigation systems powered by AI can monitor soil moisture levels in real-time and automatically regulate water distribution, reducing waste and enhancing efficiency. AI driven pest detection and disease prediction tools can help farmers take preventive measures, reducing crop losses and reliance on harmful pesticides. Drone-based AI monitoring systems can provide real-time insights into large-scale farms, ensuring better decision-making. AI-powered market intelligence can also connect farmers directly with buyers, ensuring fair pricing and reducing dependency on middlemen.
The fintech revolution is changing the way people access and manage their finances in Bangladesh, particularly in financial inclusion, fraud prevention, and secure digital transactions. AI-powered credit scoring models can analyze alternative data points, such as mobile transaction history, utility bill payments, and spending behavior, to provide credit access to unbanked and underbanked populations. AI-driven fraud detection systems use machine learning to analyze transaction patterns in real-time, identifying suspicious activities and preventing financial crimes. AI-powered chatbots can improve customer service, enabling instant loan approvals, automated financial advice, and seamless banking experiences. Additionally, AI-powered biometric authentication systems, such as facial recognition and voice recognition, can enhance transaction security, reducing the risks of fraud and cyber threats. These AI-driven innovations have the potential to make financial services more accessible, secure, and efficient for millions in Bangladesh.
Bangladesh’s healthcare system faces significant challenges such as limited access to quality medical care, a shortage of healthcare professionals, inefficient hospital management, and the growing burden of non-communicable diseases. AI has the potential to revolutionize healthcare by enhancing diagnosis, treatment planning, and patient care. AI-powered medical imaging analysis can help detect diseases like cancer, tuberculosis, and diabetic retinopathy at an early stage with higher accuracy than traditional methods. AI-driven chatbots and virtual assistants can provide 24/7 medical consultations, offering primary healthcare guidance to remote or underserved populations. In telemedicine, AI can assist doctors by automatically analyzing patient symptoms and medical history, suggesting possible diagnoses, and recommending treatment options. Remote patient monitoring (RPM) systems integrated with AI can track vital signs like blood pressure, heart rate, and glucose levels in real-time, alerting doctors to potential health risks before they become critical. AI-powered predictive analytics models can analyze large-scale patient data to forecast disease outbreaks, helping governments and healthcare providers take proactive measures to control the spread of infectious diseases like dengue, COVID-19, and cholera. In hospital management, AI-driven automated scheduling systems can optimize doctor appointments, reduce patient waiting times, and improve resource allocation. AI-enabled robotic-assisted surgeries are also emerging as a transformative innovation, increasing precision and reducing human error. Additionally, AI-driven drug discovery can accelerate the development of new medicines, addressing Bangladesh’s need for affordable and effective treatments. AI-powered electronic health record (EHR) systems can streamline medical data management, reducing paperwork and enhancing interoperability between hospitals, clinics, and pharmacies. Personalized healthcare solutions powered by AI can tailor treatment plans based on a patient’s genetic makeup, lifestyle, and previous health conditions, improving treatment efficacy. AI can also combat medical fraud by detecting irregular insurance claims and identifying counterfeit medicines. By integrating AI into Bangladesh’s healthcare system, access to quality medical care can be improved, operational efficiencies can be enhanced, and overall patient outcomes can be significantly strengthened, ultimately leading to a healthier and more resilient nation.
City Problems – Traffic Congestion, Waste Management, Pollution Control, Smart Infrastructure
City Problems – Traffic Congestion, Waste Management, Pollution Control, Smart Infrastructure
Bangladesh’s rapid urbanization has led to significant challenges in city management,particularly in traffic congestion, inefficient waste disposal, rising pollution levels, andoutdated infrastructure. AI can revolutionize urban planning by analyzing trafficpatterns in real-time, optimizing public transportation schedules, and introducing smarttraffic light systems that adjust dynamically based on congestion levels. In wastemanagement, AI-driven automated sorting systems, route optimization for wastecollection, and predictive maintenance of disposal units can enhance efficiency. AI-based air quality monitoring and pollution prediction models can help authorities takeproactive steps in combating environmental degradation. Smart infrastructure solutionslike AI-powered energy consumption tracking, building automation, and flood riskprediction systems can lead to more sustainable and resilient cities.
Manufacturing – Process Optimization, Automation, Quality Control, Supply Chain Efficiency
Manufacturing – Process Optimization, Automation, Quality Control, Supply Chain Efficiency
Bangladesh’s manufacturing sector is one of its economic pillars, yet it facesinefficiencies in production, quality control, and supply chain management. AI-drivenpredictive maintenance can prevent unexpected machinery failures, reducing downtimeand increasing productivity. Computer vision-powered quality control systems candetect defects in real-time, ensuring higher product consistency while reducing waste.Automation using AI and robotics can enhance repetitive manufacturing processes,increasing precision and efficiency. AI-driven demand forecasting models can improveinventory management, helping businesses reduce excess stock while meeting marketdemand. Additionally, AI-powered logistics optimization can improve supply chaintransparency, minimize delays, and cut down operational costs, making Bangladesh’smanufacturing sector more competitive on a global scale.
Education – AI-Driven Personalized Learning, Accessibility, Content Curation, Skill Development
Education – AI-Driven Personalized Learning, Accessibility, Content Curation, Skill Development
Education in Bangladesh is undergoing a transformation, with a growing need forpersonalized and accessible learning solutions. AI-powered adaptive learningplatforms can customize study plans based on students’ progress, learning speed, andweaknesses, ensuring better engagement and outcomes. AI chatbots and virtualassistants can provide 24/7 tutoring support, reducing dependency on traditionalclassroom settings. In special needs education, AI-powered speech recognition and text-to-speech tools can help students with disabilities access learning materials effectively.Automated content curation using AI can help educators create customized lessonplans, filtering out irrelevant information and focusing on contextual, high-qualitycontent. Furthermore, AI-based career guidance systems can analyze students’strengths and market trends to recommend personalized career paths and skilldevelopment programs, preparing them for the evolving job market.
Agriculture – Smart Farming, Predictive Analytics, Irrigation Solutions, Pest Control
Agriculture – Smart Farming, Predictive Analytics, Irrigation Solutions, Pest Control
Agriculture remains a crucial sector in Bangladesh’s economy, but climate change,resource mismanagement, and outdated farming techniques threaten its sustainability.AI can empower farmers with predictive analytics models that analyze weatherpatterns, soil quality, and crop health to optimize planting and harvesting schedules.Smart irrigation systems powered by AI can monitor soil moisture levels in real-time andautomatically regulate water distribution, reducing waste and enhancing efficiency. AI-driven pest detection and disease prediction tools can help farmers take preventivemeasures, reducing crop losses and reliance on harmful pesticides. Drone-based AImonitoring systems can provide real-time insights into large-scale farms, ensuring betterdecision-making. AI-powered market intelligence can also connect farmers directly withbuyers, ensuring fair pricing and reducing dependency on middlemen.
Fintech – Financial Inclusion, Fraud Detection, AI-Driven Credit Scoring, Secure Transactions
Fintech – Financial Inclusion, Fraud Detection, AI-Driven Credit Scoring, Secure Transactions
The fintech revolution is changing the way people access and manage their finances inBangladesh, particularly in financial inclusion, fraud prevention, and secure digitaltransactions. AI-powered credit scoring models can analyze alternative data points,such as mobile transaction history, utility bill payments, and spending behavior, toprovide credit access to unbanked and underbanked populations. AI-driven frauddetection systems use machine learning to analyze transaction patterns in real-time,identifying suspicious activities and preventing financial crimes. AI-powered chatbotscan improve customer service, enabling instant loan approvals, automated financialadvice, and seamless banking experiences. Additionally, AI-powered biometricauthentication systems, such as facial recognition and voice recognition, can enhancetransaction security, reducing the risks of fraud and cyber threats. These AI-driveninnovations have the potential to make financial services more accessible, secure, andefficient for millions in Bangladesh.
Healthcare – AI-Driven Diagnosis, Remote Patient Monitoring, Predictive Analytics, and Smart Healthcare Systems
Healthcare – AI-Driven Diagnosis, Remote Patient Monitoring, Predictive Analytics, and Smart Healthcare Systems
Bangladesh’s healthcare system faces significant challenges such as limited access toquality medical care, a shortage of healthcare professionals, inefficient hospitalmanagement, and the growing burden of non-communicable diseases. AI has thepotential to revolutionize healthcare by enhancing diagnosis, treatment planning, andpatient care. AI-powered medical imaging analysis can help detect diseases like cancer,tuberculosis, and diabetic retinopathy at an early stage with higher accuracy thantraditional methods. AI-driven chatbots and virtual assistants can provide 24/7 medicalconsultations, offering primary healthcare guidance to remote or underservedpopulations. In telemedicine, AI can assist doctors by automatically analyzing patientsymptoms and medical history, suggesting possible diagnoses, and recommendingtreatment options. Remote patient monitoring (RPM) systems integrated with AI cantrack vital signs like blood pressure, heart rate, and glucose levels in real-time, alertingdoctors to potential health risks before they become critical.AI-powered predictive analytics models can analyze large-scale patient data to forecastdisease outbreaks, helping governments and healthcare providers take proactivemeasures to control the spread of infectious diseases like dengue, COVID-19, andcholera. In hospital management, AI-driven automated scheduling systems can optimizedoctor appointments, reduce patient waiting times, and improve resource allocation.AI-enabled robotic-assisted surgeries are also emerging as a transformative innovation,increasing precision and reducing human error. Additionally, AI-driven drug discoverycan accelerate the development of new medicines, addressing Bangladesh’s need foraffordable and effective treatments.AI-powered electronic health record (EHR) systems can streamline medical datamanagement, reducing paperwork and enhancing interoperability between hospitals,clinics, and pharmacies. Personalized healthcare solutions powered by AI can tailortreatment plans based on a patient’s genetic makeup, lifestyle, and previous healthconditions, improving treatment efficacy. AI can also combat medical fraud by detectingirregular insurance claims and identifying counterfeit medicines. By integrating AI intoBangladesh’s healthcare system, access to quality medical care can be improved,operational efficiencies can be enhanced, and overall patient outcomes can besignificantly strengthened, ultimately leading to a healthier and more resilient nation.



Submission Guidelines
1. Each team must consist of a minimum of three (3) and a maximum of five (5) members.
2. All team members must belong to the same institution. This applies to both student and professional teams.
3. The “City Problem” category is for college and university students.
4. Professionals can compete in 5 categories (Manufacturing, Education, Agriculture, Fintech, Healthcare).
5. All Participants must provide valid photo identification as proof of registration.
6. Teams are required to carefully review the category details and submission guidelines to ensure a clear understanding of the requirements for submitting their AI-related solutions.
Terms & Conditions
1. General Terms
- By registering for the Bangladesh AI Hackathon 2025, participants agree to abide by these terms and conditions.
- The hackathon is open to students, professionals, startups, and researchers meeting the eligibility criteria for each category.
- The organizing committee reserves the right to amend these terms at any time without prior notice.
2. Eligibility & Team Composition
- Each team must consist of a minimum of three (3) and a maximum of five (5) members.
- A participant cannot be part of multiple teams.
- Teams must register with accurate and complete information.
3. Registration & Submission
- All teams must register through the official online platform before 22nd March 2025.
- Late or incomplete registrations will not be accepted.
- Each submission must include:
- A clearly defined Problem Statement
- A detailed AI-Based Solution Brief
- Expected Outcomes & Benefits
- Any supporting documents (e.g., photo ID, presentation deck)
4. Intellectual Property & Rights
- All submissions must be the original work of the team. Plagiarized content will lead to immediate disqualification.
- Teams retain ownership of their solutions; however, the organizers reserve the right to use submitted content for promotional and educational purposes.
- Any use of third-party data, tools, or libraries must comply with their respective licenses.
5. Evaluation & Shortlisting
- Submissions will be evaluated based on:
- Innovation & Creativity (20%)
- AI Feasibility & Technical Soundness (30%)
- Impact & Practicality (30%)
- Presentation Clarity (20%)
- The jury’s decision on shortlisting and winners will be final and non-contestable.
- Shortlisted teams will be invited to the 2-day hackathon to further develop their prototypes.
6. Code of Conduct
- Participants must uphold ethical standards and demonstrate professionalism throughout the event.
- Any form of cheating, misconduct, or violation of hackathon rules will lead to disqualification.
- Harassment or discrimination of any kind will not be tolerated.
7. Hackathon Execution & Final Pitch
- Shortlisted teams must attend the Bangladesh AI Hackathon on 15-16 April 2025 at BRAC University.
- Each team will have 5-7 minutes to present their solution, including a live demo.
- The winners will be announced at the Bangladesh AI Summit on 19 April 2025.
8. Data Privacy & Confidentiality
- Personal data collected during registration will only be used for hackathon-related communications.
- Teams should avoid sharing any confidential or proprietary business information.
9. Liability & Disclaimers
- The organizers will not be responsible for any technical failures, loss of data, or disputes related to submissions.
- The event may be postponed or canceled due to unforeseen circumstances, with prior notification to participants.
By registering in the AI Hackathon, all participants acknowledge and agree to these terms and conditions.
Anyone interested in AI, including developers, data scientists, designers, and business strategists, can participate. No prior AI experience is required.
While coding skills are beneficial, they are not mandatory. Teams often include members with different skills, such as UI/UX design, business strategy, and AI ethics.
Each team must have 3-5 members, with at least one AI/ML developer.
Participants will have access to AI tools, datasets, and cloud computing resources.
Participants will get 2 weeks from the time the registration starts to complete their projects
Projects will be judged based innovation & uniqueness, technical feasibility, impact & relevance, business viability and presentation execution
Winning teams will receive incubation support from Bangladesh Brand Forum & Innovation Conclave
No, projects must be developed during the hackathon period. However, using prior knowledge and research is allowed.
Participants can register via our hackathon website by clicking on the ‘register now’ button and by filling up the form with necessary information.
Apartment- 9/A (Level-9), House- 30 43, CWN
(A Rd 42, Dhaka 1212)
SUNDAY - THURSDAY: 10:00 AM– 06:00 PM
EMAIL: reach@innovationconclavebd.com
MOBILE: +880 1953-991665, +880 1835-858601