Cloudcamp Bangladesh

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐇𝐞𝐚𝐥𝐭𝐡𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐨𝐦𝐚𝐝𝐬, one of the finalists in the Healthcare (HealthTech) Domain, with their project 𝐌𝐚𝐭𝐞𝐫𝐧𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐨𝐧, powered by their AI-driven maternal healthcare intelligence platform, 𝐍𝐀𝐁 𝐏𝐫𝐞𝐠 𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Maternal mortality and preventable pregnancy complications remain serious healthcare challenges, particularly in rural, remote, and underserved communities.

Many pregnant women do not receive consistent prenatal care because of limited healthcare infrastructure, shortages of specialists, irregular antenatal checkups, fragmented records, geographic barriers, and poor access to reliable maternal-health information.

Without continuous monitoring, conditions such as anemia, hypertension, malnutrition, gestational complications, and high-risk pregnancies may remain undetected until they develop into emergencies.

Healthcare workers also rely heavily on manual processes and delayed reporting, making it difficult to identify vulnerable mothers early and provide preventive interventions.

There is a critical need for an accessible and scalable system that can support early risk detection, continuous monitoring, and informed maternal healthcare decisions.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐍𝐀𝐁 𝐏𝐫𝐞𝐠 𝐀𝐈

𝐍𝐀𝐁 𝐏𝐫𝐞𝐠 𝐀𝐈 is an integrated maternal healthcare intelligence platform designed to analyse individual and community-level health information before risks escalate.

The platform evaluates:

• Clinical records and pregnancy history
• Blood pressure and hemoglobin levels
• Nutrition indicators and symptoms
• Behavioural and health-related factors
• Community trends and population-level risk patterns

Using AI models and clinical scoring systems, it generates:

𝐈𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥-𝐋𝐞𝐯𝐞𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞
• Maternal risk scores
• Anemia and hypertension risk assessments
• Nutrition analysis
• Personalized recommendations
• Clinical alerts

𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲-𝐋𝐞𝐯𝐞𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞
• Village-level risk analysis
• Maternal health hotspot detection
• Forecasted risk trends
• Population-health monitoring
• Resource-allocation recommendations

The platform also supports automated intervention planning, knowledge-graph exploration, multi-agent reasoning, risk forecasting, and clinical insight generation.

By combining individual care insights with population-level intelligence, NAB Preg AI aims to help healthcare organizations move from reactive treatment toward proactive maternal-health management.

The system is designed to support healthcare professionals and public-health organizations. It does not replace clinical diagnosis, emergency care, or qualified medical judgment.

Congratulations to 𝐓𝐞𝐚𝐦 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐨𝐦𝐚𝐝𝐬 for becoming a finalist and developing a meaningful HealthTech solution focused on early detection, preventive intervention, and safer maternal care.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐇𝐞𝐚𝐥𝐭𝐡𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐒𝐤𝐨𝐭𝐨𝐬, one of the finalists in the Healthcare (HealthTech) Domain, with their project 𝐑𝐢𝐬𝐤 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞, powered by their community-level disease surveillance platform, 𝐏𝐫𝐚𝐧𝐭𝐢𝐤 𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Bangladesh’s 2023 Dengue outbreak showed how dangerous delayed disease surveillance can be. Early warning signals such as heavy rainfall, standing water, and emerging symptoms were visible before the crisis peaked, yet the formal reporting process often required weeks.

Community health workers observe symptoms, local conditions, and health patterns every day, including in villages that may have limited access to clinics. However, much of this information is recorded manually and reaches decision-makers too late.

The challenge is not the absence of data. It is the time required for that data to move from households to district and national health authorities.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐏𝐫𝐚𝐧𝐭𝐢𝐤 𝐀𝐈

𝐏𝐫𝐚𝐧𝐭𝐢𝐤 𝐀𝐈 is a two-layer system combining offline clinical decision support for community health workers with a district-level epidemiological surveillance engine.

𝐄𝐝𝐠𝐞 𝐋𝐚𝐲𝐞𝐫: 𝐂𝐇𝐖 𝐀𝐩𝐩

The Bangla, offline-first application supports:

• Patient consent and anonymized data collection
• Bangla voice input and an offline symptom dictionary
• Rule-based and AI-assisted follow-up questions
• Risk scores from 0–100 with LOW, MEDIUM, HIGH, or UNCERTAIN classifications
• WHO or DGHS-grounded citations
• Referral guidance when the system cannot produce a defensible result
• Follow-up reminders based on the identified risk level

𝐂𝐥𝐨𝐮𝐝 𝐋𝐚𝐲𝐞𝐫: 𝐒𝐮𝐫𝐯𝐞𝐢𝐥𝐥𝐚𝐧𝐜𝐞 𝐄𝐧𝐠𝐢𝐧𝐞

Anonymized assessments are compared with seasonal disease baselines. Environmental and public-health indicators, including rainfall or vaccination coverage, are then examined before potential cluster alerts are created.

District health officers review alerts before any escalation. The dashboard provides:

• Transparent alert reasoning
• Statistical confidence levels
• Seven-day outbreak projections
• Geographic cluster visualization
• Disease, symptom, and environmental relationship mapping

Patient identifiers are removed before synchronization, while public reporting applies privacy-preserving controls.

Prantik AI is designed to assist health workers and public-health officials, not replace clinical diagnosis, laboratory confirmation, or professional epidemiological judgment.

Congratulations to 𝐓𝐞𝐚𝐦 𝐒𝐤𝐨𝐭𝐨𝐬 for becoming a finalist and developing a meaningful HealthTech solution focused on faster detection, responsible surveillance, and stronger community healthcare.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐁𝐫𝐚𝐧𝐝𝐢𝐧𝐠 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 (𝐌𝐚𝐫𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐋𝐢𝐦𝐢𝐧𝐚𝐥, one of the finalists in the Branding & Marketing (MarTech) Domain, with their project 𝐁𝐫𝐚𝐧𝐝 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞, powered by their predictive campaign-intelligence platform, 𝐁𝐫𝐚𝐧𝐝𝐎𝐒.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Bangladeshi SMEs are investing more in Meta Ads, Google, TikTok, and other digital channels, yet most campaign decisions are still made using intuition and historical dashboards.

Marketers can see what happened after spending, but they cannot confidently answer important questions before launching:

• What happens if the campaign budget increases by 30%?
• When will additional spending stop producing meaningful returns?
• How should the budget be distributed across channels?
• How will delayed customer responses affect performance?
• How much does creative quality influence the outcome?

Many global enterprise platforms remain too expensive for smaller businesses. Traditional forecasting approaches also struggle with new campaigns, non-linear budget performance, delayed conversions, and creative-performance variation.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐁𝐫𝐚𝐧𝐝𝐎𝐒

𝐁𝐫𝐚𝐧𝐝𝐎𝐒 is a pre-launch campaign-simulation platform designed to help Bangladeshi SMEs forecast performance before committing their marketing budget.

Its six-layer simulation system combines:

• Bayesian Marketing Mix Modelling for broader market and channel analysis
• Agent-Based Modelling for audience-specific scenario testing
• Adstock modelling to measure delayed advertising impact
• Hill functions to identify diminishing returns and spending saturation
• Markov Chain analysis to estimate customer movement across the funnel
• Genetic optimization to compare thousands of budget allocations

The platform also uses a Neo4j-powered knowledge graph to connect campaign, audience, channel, and market information. Its explanations are supported by SHAP-based analysis, helping users understand which factors influenced each prediction.

BrandOS provides Bangla-native processing, executive-level reports, and low-bandwidth optimization. An offline-capable local AI fallback is also planned to support users with limited connectivity.

By moving campaign intelligence from retrospective reporting to pre-launch simulation, BrandOS aims to help SMEs test possibilities, understand risks, and allocate budgets more responsibly.

Congratulations to 𝐓𝐞𝐚𝐦 𝐋𝐢𝐦𝐢𝐧𝐚𝐥 for becoming a finalist and developing a technically ambitious MarTech solution focused on predictive planning and smarter marketing investment.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐒𝐨𝐜𝐢𝐚𝐥 𝐌𝐞𝐝𝐢𝐚 (𝐈𝐧𝐟𝐨𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐁𝐫𝐚𝐜𝐮 𝐏𝐢𝐫𝐚𝐭𝐞𝐬, one of the finalists in the Social Media (InfoTech) Domain, with their project 𝐅𝐚𝐜𝐭-𝐂𝐡𝐞𝐜𝐤𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞, powered by their multi-agent verification platform, 𝐒𝐡𝐨𝐜𝐡𝐞𝐭𝐨𝐧.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

As misinformation spreads rapidly online, many users depend on a single AI model to evaluate whether a claim is accurate.

However, individual AI systems may present incorrect information confidently, overlook opposing evidence, or reflect hidden biases in their analysis. When one model controls the entire verification process, its errors can become a single point of failure.

Complex claims require more than a quick response. They need evidence gathering, opposing viewpoints, critical examination, transparent reasoning, and verifiable sources.

There is a need for a fact-checking system that does not simply produce an answer, but actively challenges its own findings before reaching a conclusion.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐒𝐡𝐨𝐜𝐡𝐞𝐭𝐨𝐧

𝐒𝐡𝐨𝐜𝐡𝐞𝐭𝐨𝐧 is a multi-agent AI fact-checking platform designed to recreate the analytical discipline of a newsroom debate.

When a user submits a claim or uploads a document, the system extracts the central assertion and collects relevant evidence through broad web searches and a vector database restricted to trusted sources.

The evidence is then examined by three specialized AI roles:

𝟏. 𝐓𝐡𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐬𝐭
Builds the strongest evidence-based argument supporting the claim.

𝟐. 𝐓𝐡𝐞 𝐒𝐤𝐞𝐩𝐭𝐢𝐜
Constructs a competing case by identifying contradictory evidence, weaknesses, and missing context.

𝟑. 𝐓𝐡𝐞 𝐌𝐨𝐝𝐞𝐫𝐚𝐭𝐨𝐫
Reviews the evidence and debate before producing a balanced final assessment.

The Optimist and Skeptic cross-examine each other’s findings, helping expose weak reasoning and unsupported conclusions. The Moderator then delivers a transparent verdict with:

• A confidence score
• Supporting and opposing evidence
• Clear reasoning behind the conclusion
• Verifiable source citations

By using structured disagreement rather than relying on one AI response, Shocheton aims to reduce hallucination risk, minimize one-sided analysis, and help users understand how a conclusion was reached.

The platform supports informed verification but does not guarantee absolute accuracy. Users should review the cited evidence, especially for sensitive or high-impact claims.

Congratulations to 𝐓𝐞𝐚𝐦 𝐁𝐫𝐚𝐜𝐮 𝐏𝐢𝐫𝐚𝐭𝐞𝐬 for becoming a finalist and developing a thoughtful InfoTech solution focused on transparent reasoning, balanced verification, and digital trust.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐇𝐞𝐚𝐥𝐭𝐡𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐌𝐚𝐭𝐞𝐫𝐧𝐚 𝐀𝐈, one of the finalists in the Healthcare (HealthTech) Domain, with their project 𝐌𝐚𝐭𝐞𝐫𝐧𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐨𝐧, powered by their Bengali-first maternal care platform, 𝐌𝐚𝐭𝐞𝐫𝐧𝐚𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Many women in Bangladesh, especially in rural and underserved communities, still struggle to access specialists, reliable health information, and continuous support throughout pregnancy and postpartum care.

Delayed identification of complications, misinformation, limited personalized guidance, and weak continuity of care can increase preventable risks for mothers and babies.

Maternal mental health is also frequently overlooked. Postpartum depression, domestic abuse, social isolation, and financial pressure may remain hidden because stigma and limited support prevent mothers from seeking help.

There is a need for a Bengali-first platform that can identify risks early, support mental well-being, and connect mothers with verified healthcare professionals.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐌𝐚𝐭𝐞𝐫𝐧𝐚𝐀𝐈

𝐌𝐚𝐭𝐞𝐫𝐧𝐚𝐀𝐈 is an AI-powered maternal health companion designed to provide end-to-end support across pregnancy and the postpartum period.

Its core features include:

• Rule-based and RAG-grounded danger-sign screening for symptoms such as pre-eclampsia, haemorrhage, and reduced fetal movement
• Bangla voice input converted into structured health records
• Real-time risk flags and clinician alerts
• EPDS-based postpartum depression screening with guidance and referral recommendations
• AI-moderated peer communities for PPD, nutrition, and rural maternal support
• Discreet domestic-abuse detection and an emergency SOS pathway
• Trimester-aware nutrition recommendations and personalized birth plans
• SMS support for low-connectivity environments
• Simplified Bengali summaries of medical reports
• Secure access to verified healthcare professionals
• Clinician and administrative dashboards for monitoring, reports, alerts, and verification

MaternaAI is designed to support mothers and healthcare professionals, not replace clinical diagnosis, emergency services, or qualified medical judgment.

Congratulations to 𝐓𝐞𝐚𝐦 𝐌𝐚𝐭𝐞𝐫𝐧𝐚 𝐀𝐈 for becoming a finalist and developing a meaningful HealthTech solution focused on accessible, culturally relevant, and safer maternal care.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐁𝐫𝐚𝐧𝐝𝐢𝐧𝐠 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 (𝐌𝐚𝐫𝐓𝐞𝐜𝐡) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐔𝐂𝐋 𝐀𝐈, one of the finalists in the Branding & Marketing (MarTech) Domain, with their project 𝐂𝐮𝐬𝐭𝐨𝐦 𝐌𝐚𝐫𝐓𝐞𝐜𝐡 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 (𝐒𝐡𝐨𝐰𝐜𝐚𝐬𝐞), powered by their integrated AI-native marketing intelligence platform, 𝐁𝐫𝐚𝐧𝐝𝐏𝐮𝐥𝐬𝐞 𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Modern marketing teams rely on multiple disconnected tools for social listening, campaign analytics, brand assets, competitor research, influencer discovery, and audience insights.

Because this information remains scattered across separate systems, teams often struggle to build a complete understanding of brand performance and market behaviour.

This fragmentation makes it difficult to:

• Predict campaign performance before launch
• Maintain consistent brand messaging across channels
• Identify meaningful changes in audience sentiment
• Monitor competitor activities effectively
• Select suitable influencer partnerships
• Allocate marketing resources proactively

As a result, many teams respond to market changes only after they happen instead of testing strategies and managing brand risk in advance.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐁𝐫𝐚𝐧𝐝𝐏𝐮𝐥𝐬𝐞 𝐀𝐈

𝐁𝐫𝐚𝐧𝐝𝐏𝐮𝐥𝐬𝐞 𝐀𝐈 is an integrated marketing intelligence platform that brings multiple brand and audience data streams into one AI-native environment.

Its intelligent AI Ops agents continuously analyse brand sentiment, audience behaviour, and competitor activity, helping teams identify important changes and opportunities from one unified system.

The platform includes:

𝟏. 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐒𝐭𝐮𝐝𝐢𝐨
Generates marketing assets grounded in the brand’s guidelines through retrieval-augmented generation, helping teams maintain consistent tone, messaging, and identity.

𝟐. 𝐈𝐧𝐟𝐥𝐮𝐞𝐧𝐜𝐞𝐫 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞
Supports more precise partnership matching by examining audience profiles and psychographic alignment rather than relying only on follower counts.

𝟑. 𝐁𝐫𝐚𝐧𝐝 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧
Uses predictive models to test campaign strategies before deployment, allowing marketers to compare possible outcomes and refine their approach.

By combining intelligence, creation, influencer analysis, and simulation, BrandPulse AI helps teams move from fragmented and reactive marketing toward more consistent, informed, and proactive brand management.

Congratulations to 𝐓𝐞𝐚𝐦 𝐔𝐂𝐋 𝐀𝐈 for becoming a finalist and developing a comprehensive MarTech solution focused on smarter campaign planning and unified brand intelligence.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 (𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐕𝐢𝐥𝐭𝐫𝐮𝐦𝐢𝐭𝐞𝐬, one of the finalists in the Online Commerce (E-Commerce) Domain, with their project 𝐒𝐌𝐄 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝, powered by their AI-driven customer intelligence platform, 𝐋𝐞𝐝𝐠𝐞𝐫𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Growing e-commerce businesses receive customer signals from many different places, including support chats, reviews, Facebook comments, orders, analytics, and social engagement.

Important insights are often buried inside this scattered information. A frequently asked product question may never reach the product page. Repeated complaints may be handled individually without identifying the underlying issue. Reviews may remain unanswered, while sudden changes in customer behaviour go unnoticed.

SME owners care about their customers, but they rarely have the time or infrastructure to analyse every conversation at scale.

As a result, businesses spend hours manually reviewing feedback, updating FAQs, replying to customers, preparing reports, and discussing problems that could have been identified much earlier.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐋𝐞𝐝𝐠𝐞𝐫𝐀𝐈

𝐋𝐞𝐝𝐠𝐞𝐫𝐀𝐈 brings customer feedback and business data into one intelligent SME dashboard.

The platform integrates information from:

• Google reviews
• Facebook comments
• Support conversations
• Order information
• Website analytics
• Social-media engagement

As new data enters the system, it is standardized and categorized by sentiment and topic before being added to a searchable knowledge base.

LedgerAI then helps businesses:

• Identify recurring customer concerns
• Rank issues according to importance and potential impact
• Generate review responses in the brand’s tone of voice
• Discover unanswered questions and knowledge gaps
• Create or improve FAQ content
• Understand customer sentiment and behavioural patterns
• Turn scattered feedback into clear business actions

The platform continuously improves as business owners approve responses, close knowledge gaps, and act on detected patterns.

Rather than presenting another collection of complex reports, LedgerAI aims to show SME owners what matters, why it matters, and what action should be taken next.

Congratulations to 𝐓𝐞𝐚𝐦 𝐕𝐢𝐥𝐭𝐫𝐮𝐦𝐢𝐭𝐞𝐬 for becoming a finalist and developing a practical E-Commerce solution focused on customer understanding, operational efficiency, and smarter SME decision-making.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress

𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 (𝐄-𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞) 𝐃𝐨𝐦𝐚𝐢𝐧 𝐚𝐭 𝐓𝐇𝐄 𝐈𝐍𝐅𝐈𝐍𝐈𝐓𝐘 𝐀𝐈 𝐁𝐔𝐈𝐋𝐃𝐅𝐄𝐒𝐓 𝟐𝟎𝟐𝟔

Meet 𝐓𝐞𝐚𝐦 𝐀𝐜𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧, one of the finalists in the Online Commerce (E-Commerce) Domain, with their project 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦, powered by their plug-and-play AI recommendation infrastructure, 𝐑𝐞𝐜𝐨𝐌𝐚𝐭𝐞 𝐀𝐈.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐓𝐡𝐞𝐲 𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝

Product recommendations play an important role in helping online customers discover relevant items and complete additional purchases. However, many small and medium e-commerce businesses cannot access the advanced recommendation technology used by larger platforms.

More than 70% of SMEs do not have dedicated machine-learning teams, while many existing solutions are restricted to specific platforms such as Shopify or WooCommerce.

Building a recommendation system independently can require technical expertise, infrastructure, integration work, and ongoing maintenance. As a result, smaller merchants may miss opportunities to improve product discovery, cross-selling, customer experience, and revenue.

There is a clear need for an affordable and easy-to-integrate recommendation infrastructure designed specifically for SMEs.

𝐓𝐡𝐞𝐢𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐑𝐞𝐜𝐨𝐌𝐚𝐭𝐞 𝐀𝐈

𝐑𝐞𝐜𝐨𝐌𝐚𝐭𝐞 𝐀𝐈 is a fully managed, plug-and-play AI recommendation system that enables small and medium e-commerce businesses to add related-product recommendations without building their own machine-learning infrastructure.

The integration process is designed to be simple:

𝟏. The merchant registers and receives an API key in under 30 seconds
𝟐. Products are synchronized through an API, npm SDK, or supported plugin
𝟑. Customers visiting a product-detail page receive relevant related-product recommendations

By providing multiple integration options, RecoMate AI aims to support merchants operating across different e-commerce technologies rather than limiting them to one platform.

The managed infrastructure reduces the need for an internal AI team and allows businesses to focus on their products, customers, and operations while the recommendation system handles relevant product discovery.

Through a straightforward setup and accessible architecture, RecoMate AI aims to bring enterprise-style personalization within reach of smaller online merchants.

Congratulations to 𝐓𝐞𝐚𝐦 𝐀𝐜𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧 for becoming a finalist and developing a practical E-Commerce solution focused on accessible personalization and better online product discovery.

𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭?

Get ready for the next big journey:

𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬 𝐂𝐨𝐧𝐠𝐫𝐞𝐬𝐬 𝟐𝟎𝟐𝟔
📍 Daffodil International University
📅 Saturday, December 26, 2026 | 7:00 AM

𝐁𝐮𝐢𝐥𝐝 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬. 𝐒𝐜𝐚𝐥𝐞 𝐖𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬. 𝐒𝐡𝐚𝐩𝐞 𝐖𝐡𝐚𝐭 𝐂𝐨𝐦𝐞𝐬 𝐍𝐞𝐱𝐭.

👉 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰: cloudcampbd.com/ai-builders-congress