Kanak AI: Formalising gig economy

“Kanak AI is a smart tool designed for gig economy workers that predicts a person’s potential income based on their background, skills, and location. It helps job seekers, career advisors, and HR professionals get realistic salary expectations. It fills a gap in personalised, data-based career guidance. By using AI, it bridges the divide between job seekers and employers. It’s currently a web app, with future plans for API integration across platforms and expansion into career counselling and job-matching services.”

PROJECT TRANSParent – QTBharath

Project TRANSparent – QTBharath uses AI to connect transgender and gender-diverse individuals with jobs, government schemes, training, and healthcare support. It addresses exclusion from jobs and services due to bias and lack of access. Community leaders can also use it to guide members. It now includes a social network to support engagement and uptake. The tool reduces barriers and builds inclusive access to resources. It is available as a web platform with continued improvements in AI and usability

Nclude

Nclude is a digital platform for blind and low-vision users to explore careers, access government schemes, and find helpful tools. It fills a big gap in accessible career guidance by using real-life stories and AI-based suggestions. The platform runs on WhatsApp, IVR, and web interfaces. It benefits persons with disabilities (PwDs) by offering personalised support and connections to opportunities. Over 2,000 users have accessed it already. Future plans include language expansion and working with government partners.

MAAP (Malnutrition Assessment and Action Plan)

MAAP is a mobile app that uses AI to help detect child malnutrition at home. Parents, caregivers, and health workers can take a photo of a child to estimate height and spot early signs of malnutrition. It offers simple advice and links with government systems like Poshan Tracker 2.0. The app makes child growth tracking cheaper and easier, especially in remote areas. It’s being piloted now and aims to reach 1 million children by 2030

Implementing a Smart Data Platform

This book examines the Smart Data Platform (SmartDP), a solution designed to enhance enterprises’ capabilities in data management, engineering, and science. The authors detail a comprehensive SmartDP approach encompassing data, platform products, data applications, and consulting services to strengthen existing data infrastructures.

Mobile Big Data and Artificial Intelligence: Towards sustainable development in Southeast Asia

This report explores how AI and mobile big data can address socioeconomic challenges in Indonesia, Malaysia, and Thailand. It highlights use cases in climate action and urban mobility, offering recommendations for scaling these technologies to achieve Sustainable Development Goals.

SEVA Vetbot App

SEVA Vetbot App helps livestock owners find herbal treatments for common animal illnesses. It supports farmers in rural areas who lack access to affordable veterinary care. Users can ask questions in Tamil or English using text or voice. In few months it will be available in other different languages. The platform uses AI to suggest treatments from a growing database of traditional practices. Available through a chatbot, it’s currently being tested with over 500 field workers. Plans are in place to reach 1 million users by 2030.

Evidence for Equity

Atiya Anis emphasises the critical need for sex-disaggregated data to advance gender equality. She illustrates how comprehensive data collection can inform policies addressing issues like declining female labour-force participation and gender-based violence, ultimately fostering more equitable societal outcomes.

E-QLT: A social security simulation platform

E-QLT is a social security simulation platform that governments, CSOs, researchers, insurance providers, SHGs, and individuals can use to understand how vulnerable households are to social and climate risks. It fills a major ecosystem knowledge gap by showing how well existing social protection schemes work at the household level. CSOs, planners, and researchers can use it to evaluate existing interventions and design better interventions. The tool provides a “social protection score” for each household and helps test different intervention strategies. Currently available as a publicly accessible web app, with public API access and deployment options planned for future releases.

Noting Major Gaps in Gender Statistics, Speaker Says Data Collection Must Ensure All Groups Are Represented, as Commission on Women Continues Session

The United Nations Commission on the Status of Women emphasised the need for comprehensive gender statistics to accurately reflect the experiences of all women and girls. Experts highlighted the importance of inclusive data collection, disaggregation, and the role of citizen-generated data in addressing gaps and informing effective policies.
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