{"id":5625,"date":"2026-06-05T13:24:18","date_gmt":"2026-06-05T07:54:18","guid":{"rendered":"https:\/\/internshala.com\/competitions\/?p=5625"},"modified":"2026-06-05T13:24:20","modified_gmt":"2026-06-05T07:54:20","slug":"nhai-innovation-hackathon-7-0","status":"publish","type":"post","link":"https:\/\/internshala.com\/competitions\/nhai-innovation-hackathon-7-0\/","title":{"rendered":"NHAI Innovation Hackathon 7.0"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\ud83d\udccc<strong>About the Event<\/strong><\/h2>\n\n\n\n<p>NHAI Innovation Hackathon 7.0 is a national-level innovation challenge by the National Highways Authority of India (NHAI). This edition invites tech students, AI\/ML enthusiasts, developers, professionals, startups, and innovators to build a secure, lightweight, fully offline facial recognition and liveness detection system for remote and zero-network environments. The solution is expected to support NHAI\u2019s Datalake 3.0 app and work smoothly on mobile devices.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\u2139\ufe0f <strong>Event Details<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Theme\/Challenge: <\/strong>Develop an offline facial recognition and liveness detection solution for field authentication.<\/li>\n\n\n\n<li><strong>Problem focus:<\/strong> The solution should help field personnel authenticate securely even without an active internet connection.<\/li>\n\n\n\n<li><strong>Mode of conduct: <\/strong>Online submission through the official NHAI Hackathon portal.<\/li>\n\n\n\n<li><strong>Technology focus: <\/strong>AI\/ML, facial recognition, liveness detection, mobile app integration, React Native, Android and iOS compatibility.<\/li>\n\n\n\n<li><strong>Target users:<\/strong> IT students, AI\/ML enthusiasts, app developers, tech professionals, startups, and innovators.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83d\udcc5 <strong>Important Dates<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Submission opens: <\/strong>22 May 2026<\/li>\n\n\n\n<li><strong>Final submission deadline: <\/strong>5 June 2026<\/li>\n\n\n\n<li><strong>Application window: <\/strong>22 May 2026 to 5 June 2026<\/li>\n\n\n\n<li><strong>Submission portal: <\/strong>Official NHAI Hackathon portal<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83c\udfaf <strong>Eligibility &amp; Rules<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Eligibility:<\/strong>\n<ul class=\"wp-block-list\">\n<li>Open to IT students, computer science students, AI\/ML enthusiasts, app developers, tech professionals, startups, and innovators.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Technical requirements:<\/strong>\n<ul class=\"wp-block-list\">\n<li>The model should work with React Native and support both Android and iOS.<\/li>\n\n\n\n<li>The AI model should be lightweight, with a target size of around 20 MB or lower.<\/li>\n\n\n\n<li>Facial recognition and liveness verification should ideally happen in under 1 second.<\/li>\n\n\n\n<li>The solution should work on mid-range mobile devices, without needing high-end GPUs.<\/li>\n\n\n\n<li>It should support devices with at least 3 GB RAM, including Android 8.0+ and iOS 12+.<\/li>\n\n\n\n<li>Facial recognition accuracy should be above 95%.<\/li>\n\n\n\n<li>The system should perform reliably in outdoor conditions such as bright sunlight, low light, and shadows.<\/li>\n\n\n\n<li>The solution should use open-source technologies and share the working prototype source code.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Evaluation process:<\/strong>\n<ul class=\"wp-block-list\">\n<li>Innovation level \u2013 30 marks: Efficiency of the edge AI model, compression techniques, and offline liveness detection.<\/li>\n\n\n\n<li>Feasibility \u2013 30 marks: Ease of integration with the Datalake 3.0 React Native app and speed on mid-range phones.<\/li>\n\n\n\n<li>Scalability and sustainability \u2013 20 marks: Reliability of offline-to-online sync and performance across different faces and lighting conditions.<\/li>\n\n\n\n<li>Presentation and documentation \u2013 20 marks: Source code, integration guide, and final presentation quality.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-default\" style=\"background-color:#f0f0f0;color:#f0f0f0\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83c\udfc6 <strong>Prize Details and Value<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>1st Prize: <\/strong>\u20b92,00,000<\/li>\n\n\n\n<li><strong>2nd Prize:<\/strong> \u20b91,00,000<\/li>\n\n\n\n<li><strong>3rd Prize:<\/strong> \u20b950,000<\/li>\n\n\n\n<li><strong>Total prize pool:<\/strong> \u20b93,50,000<\/li>\n\n\n\n<li><strong>Incentive:<\/strong> Winners get recognition from NHAI, with a chance to build a real-world solution for India\u2019s highway infrastructure ecosystem.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcccAbout the Event NHAI Innovation Hackathon 7.0 is a national-level innovation challenge by the National Highways Authority of India (NHAI). This edition invites tech students, AI\/ML enthusiasts, developers, professionals, startups,<\/p>\n","protected":false},"author":10,"featured_media":5659,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-5625","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hackathons"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NHAI Innovation Hackathon 7.0 - Internshala Competitions<\/title>\n<meta name=\"description\" content=\"Participate in NHAI Innovation Hackathon 7.0, an online AI\/ML challenge to build a lightweight offline facial recognition and liveness\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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