"Perfect solution for short campus trips without the hassle."

"The idea is good, but it feels a bit ambitious. Real-time detection of text, images, and videos together might be very hard to achieve."

"Wrong measurements or cancellations may still cause fabric waste, reducing sustainability benefits"

"This approach sounds promising, but how will the system handle bias in training data? Won’t it risk flagging legitimate opinions as misinformation?"

"This is an innovative and much-needed idea using neural networks for real-time fake news detection can make online spaces far more reliable. However, ensuring data privacy, avoiding bias in the model, and maintaining transparency in how content is…"

"This idea is useful because it can detect fake news in text, images, and videos. By learning continuously, it stays updated and helps people avoid sharing false information"

"I like how this system gives credibility scores and warns users in real time. It’s smarter than regular filters and helps people make safer choices online."

"This system is unique because it merges NLP, CNNs, and deepfake detection into one adaptive model. Unlike static filters, it continuously learns from new misinformation tactics, making it powerful and future-proof."

"I like that this system doesn’t just block fake news but also shows credibility scores. It helps users make smarter decisions before sharing anything online."

"This is a smart and timely idea—using neural networks for real-time fake news detection is both scalable and much needed in today’s digital landscape."

"The solution is well thought out, especially the multi-modal analysis , which makes it more robust than most existing systems."

"This is a smart and timely idea. Using AI to spot fake news in text, images, and videos can help stop harmful content before it spreads. It’s a strong step toward making the internet safer and more trustworthy."

"https://campusideaz.com/ideaz/breaking-the-chain-of-lies-neural-net..."

"This idea uses advanced AI to spot fake news quickly by analyzing both words and images, making it more effective than traditional methods. It’s a great way to help people get accurate information and reduce misinformation online."

"This is a smart and timely idea. Using neural networks for real-time, multi-modal fake news detection is both innovative and impactful. It’s a scalable solution to a serious problem, and the focus on adapting to new misinformation"