| | import streamlit as st |
| | from fpdf import FPDF |
| | from datetime import datetime |
| | from gtts import gTTS |
| | import os |
| | import re |
| |
|
| | |
| | |
| | |
| | st.set_page_config(page_title="AI For Everyone", layout="wide") |
| | os.makedirs("audio", exist_ok=True) |
| |
|
| | |
| | |
| | |
| | if "analytics" not in st.session_state: |
| | st.session_state.analytics = {} |
| | if "leaderboard" not in st.session_state: |
| | st.session_state.leaderboard = {} |
| | if "started" not in st.session_state: |
| | st.session_state.started = False |
| |
|
| | |
| | |
| | |
| | def clean_filename(text): |
| | return re.sub(r"[^\w\s-]", "", text).replace(" ", "_") |
| |
|
| | def remove_non_latin(text): |
| | return text.encode("latin-1", "ignore").decode("latin-1") |
| |
|
| | |
| | |
| | |
| | def create_certificate(user, topic, score): |
| | pdf = FPDF(orientation="L", unit="mm", format="A4") |
| | pdf.add_page() |
| |
|
| | |
| | pdf.set_fill_color(0, 102, 204) |
| | pdf.rect(0, 0, 297, 20, 'F') |
| | pdf.set_text_color(255, 255, 255) |
| | pdf.set_font("Arial", "B", 22) |
| | pdf.set_y(5) |
| | pdf.cell(0, 10, remove_non_latin("FUTURE TECH LEADERS"), ln=True, align="C") |
| |
|
| | |
| | pdf.set_y(35) |
| | pdf.set_text_color(0, 0, 0) |
| | pdf.set_font("Arial", "B", 28) |
| | pdf.cell(0, 15, remove_non_latin(user.upper()), ln=True, align="C") |
| |
|
| | pdf.set_font("Arial", "", 16) |
| | pdf.cell(0, 10, remove_non_latin(f"has completed the training in {topic.upper()} under"), ln=True, align="C") |
| | pdf.cell(0, 10, remove_non_latin("AI For Everyone - Digital Literacy Hub"), ln=True, align="C") |
| |
|
| | pdf.set_font("Arial", "I", 12) |
| | pdf.cell(0, 10, remove_non_latin("Batch-01 | Jul 2025 - Sep 2025"), ln=True, align="C") |
| |
|
| | pdf.set_font("Arial", "", 14) |
| | pdf.ln(4) |
| | pdf.cell(0, 10, remove_non_latin(f"Score Achieved: {score}/5"), ln=True, align="C") |
| |
|
| | |
| | pdf.set_y(-35) |
| | pdf.set_font("Arial", "I", 11) |
| | pdf.cell(0, 10, f"Issue Date: {datetime.today().strftime('%d/%m/%Y')}", ln=True, align="C") |
| | pdf.cell(0, 10, remove_non_latin("Issued by Future Tech Leaders"), ln=True, align="C") |
| | cert_id = f"FTL-{datetime.now().strftime('%y%m%d%H%M%S')}" |
| | pdf.cell(0, 10, f"Certificate ID: {cert_id}", ln=True, align="C") |
| |
|
| | filename = f"{clean_filename(user)}_{clean_filename(topic)}.pdf" |
| | pdf.output(filename) |
| | return filename |
| |
|
| | |
| | |
| | |
| | def generate_audio_if_missing(topic, text): |
| | filename = f"audio/{clean_filename(topic)}.mp3" |
| | if not os.path.exists(filename): |
| | tts = gTTS(text) |
| | tts.save(filename) |
| | return filename |
| |
|
| | |
| | |
| | |
| | modules = { |
| | "What is AI?": { |
| | "intro": [ |
| | "Artificial Intelligence (AI) is the field of computer science that aims to create machines capable of intelligent behavior.", |
| | "It involves building systems that can learn from data, reason through logic, perceive their environment, and make decisions.", |
| | "AI is used in everyday applications like voice assistants, image recognition, and recommendation engines.", |
| | "It draws on statistics, data mining, and machine learning algorithms.", |
| | "AI can help automate repetitive tasks, saving time and reducing human error.", |
| | "It powers self-driving cars, fraud detection systems, and smart healthcare tools.", |
| | "There are different levels—such as narrow AI (task-specific) and general AI (multi-purpose).", |
| | "Narrow AI is what we have today; general AI remains a future goal.", |
| | "Understanding AI helps individuals adapt to the changing job market.", |
| | "Ethical AI usage ensures fairness, transparency, and privacy.", |
| | "Learning AI foundations enables you to innovate in various industries.", |
| | "As data becomes central to modern life, AI skills become more essential." |
| | ], |
| | "quiz": [ |
| | {"q": "AI stands for?", "O": ["Automated Interface","Artificial Intelligence","Applied Informatics","Advanced Integration"], "A": "Artificial Intelligence"}, |
| | {"q": "Narrow AI refers to systems that are?", "O": ["Task-specific","Human-like","Self-aware","Multilingual"], "A": "Task-specific"}, |
| | {"q": "Which powers voice assistants?", "O": ["AI","Manual Input","Open Source","Wireless"], "A": "AI"}, |
| | {"q": "General AI means?", "O": ["One task only","Human-level intelligence","Collecting data","Math only"], "A": "Human-level intelligence"}, |
| | {"q": "AI systems learn from?", "O": ["Data","Magic","Sunlight","Noise"], "A": "Data"} |
| | ] |
| | }, |
| | "How ChatGPT Works": { |
| | "intro": [ |
| | "ChatGPT is a language model built by OpenAI using deep learning techniques.", |
| | "It was trained on a large dataset that includes books, articles, and websites.", |
| | "It uses a transformer neural network architecture to predict the next word in a sentence.", |
| | "By learning patterns of language, ChatGPT can generate fluent and coherent responses.", |
| | "It can answer questions, write essays, help with code, and even generate creative content.", |
| | "However, it does not truly understand meaning—it relies on statistical patterns.", |
| | "ChatGPT works best when prompts are specific and clear.", |
| | "It's important to verify its output, especially for critical information.", |
| | "Developers can use API endpoints to integrate ChatGPT into other tools.", |
| | "AI creativity is impressive—but it may hallucinate if incorrectly prompted.", |
| | "Ethical guidelines inform its usage: no hate speech, personal data misuse, or harmful content.", |
| | "Understanding ChatGPT helps learners leverage AI responsibly." |
| | ], |
| | "quiz": [ |
| | {"q": "ChatGPT is built by?", "O": ["Google","Meta","OpenAI","Amazon"], "A": "OpenAI"}, |
| | {"q": "It uses which neural net?", "O": ["CNN","RNN","Transformer","KNN"], "A": "Transformer"}, |
| | {"q": "ChatGPT generates text by predicting?", "O": ["Next word","Image pixels","Sound frequency","Encryption keys"], "A": "Next word"}, |
| | {"q": "Model trained on?", "O": ["Videos","Text data","Audio only","No data"], "A": "Text data"}, |
| | {"q": "Always verify its?", "O": ["Cooking skills","Factual output","Voice tone","Font size"], "A": "Factual output"} |
| | ] |
| | }, |
| | "Types of AI": { |
| | "intro": [ |
| | "AI can be categorized into Narrow AI, General AI, and Super AI.", |
| | "Narrow AI performs specific tasks like translation or gameplay.", |
| | "General AI would have human-like intelligence across domains - it's still a goal.", |
| | "Super AI would surpass human intelligence in every aspect - purely theoretical today.", |
| | "Narrow AI is abundant: speech recognition, spam filters, recommendation engines.", |
| | "General and Super AI are topics of research and science fiction.", |
| | "Ethical safeguards are crucial as AI capabilities grow.", |
| | "Understanding AI categories helps set realistic expectations.", |
| | "Today’s AI is powerful but limited by design.", |
| | "Progress toward general AI involves integrating reasoning, planning, and learning." |
| | ], |
| | "quiz": [ |
| | {"q": "Narrow AI does?", "O": ["Everything","One task","No tasks","Future tasks"], "A": "One task"}, |
| | {"q": "General AI equals?", "O": ["Calc machine","Human-like intelligence","Traffic light","Login system"], "A": "Human-like intelligence"}, |
| | {"q": "Super AI is?", "O": ["Here now","Future concept","Manual machine","Simple code"], "A": "Future concept"}, |
| | {"q": "Translation apps use?", "O": ["Narrow AI","Super AI","No AI","Magic"], "A": "Narrow AI"}, |
| | {"q": "Spam filters are?", "O": ["General AI","Narrow AI","No AI","Super AI"], "A": "Narrow AI"} |
| | ] |
| | }, |
| | "AI in Daily Life": { |
| | "intro": [ |
| | "AI is present in our daily routines: face unlock, recommendations, search.", |
| | "Streaming platforms use AI to recommend songs and videos.", |
| | "Navigation apps use AI to optimize routes and avoid traffic.", |
| | "Banks use AI to detect fraud and assess loan risks.", |
| | "E-commerce uses AI to show personalized product suggestions.", |
| | "Smart homes use AI for voice control, thermostats, and lighting.", |
| | "Healthcare uses AI to aid in diagnosis and personalized treatments.", |
| | "Language translation apps use AI for real-time communication.", |
| | "Smart agriculture uses AI for irrigation, yield prediction, and pest control.", |
| | "Understanding these everyday uses helps appreciate AI’s impact." |
| | ], |
| | "quiz": [ |
| | {"q": "Face unlock uses?", "O": ["AI","Password","QR code","Manual"], "A": "AI"}, |
| | {"q": "YouTube suggests videos based on?", "O": ["AI","Manual","Coin Toss","Ads"], "A": "AI"}, |
| | {"q": "Navigation apps predict?", "O": ["Weather only","Traffic patterns","Random","Lyrics"], "A": "Traffic patterns"}, |
| | {"q": "Banks use AI for?", "O": ["Fraud detection","Cooking","Car wash","Gaming"], "A": "Fraud detection"}, |
| | {"q": "Smart homes can?", "O": ["AI control","Time travel","Teleportation","None"], "A": "AI control"} |
| | ] |
| | }, |
| | "ML vs DL": { |
| | "intro": [ |
| | "Machine Learning (ML) is a subset of AI focused on learning from data.", |
| | "Deep Learning (DL) is a specialized ML method using neural networks with multiple layers.", |
| | "ML algorithms include linear regression, decision trees, SVM.", |
| | "DL uses neural network architectures like CNNs and RNNs.", |
| | "DL is powerful for images, voice, and unstructured data.", |
| | "ML works well for smaller datasets and structured data.", |
| | "DL needs large datasets and computational resources.", |
| | "ML models are easier to interpret; DL models are often opaque.", |
| | "Use case guides choice: ML for tabular data, DL for media recognition.", |
| | "Knowing this helps choose the right approach for a project." |
| | ], |
| | "quiz": [ |
| | {"q": "ML learns from?", "O": ["Data only","Magic","Nothing","Sunlight"], "A": "Data only"}, |
| | {"q": "DL uses?", "O": ["Neural networks","Manual rules","Static code","Papers"], "A": "Neural networks"}, |
| | {"q": "DL works best with?", "O": ["Lots of data","Little data","No data","Water"], "A": "Lots of data"}, |
| | {"q": "ML models are?", "O": ["Interpretable","Invisible","Random","Imaginary"], "A": "Interpretable"}, |
| | {"q": "Image recognition uses?", "O": ["DL","ML only","No AI","Analog"], "A": "DL"} |
| | ] |
| | }, |
| | "Deepfakes & Misinformation": { |
| | "intro": [ |
| | "Deepfakes are synthetic media created using AI.", |
| | "They can manipulate images, audio, and video to create false realities.", |
| | "These can spread misinformation and harm reputation.", |
| | "AI-generated fake content makes media trust more complex.", |
| | "Verifying authenticity is critical in news and social platforms.", |
| | "Deepfakes may target public figures or individuals.", |
| | "Tools exist to help detect fakes, but technology evolves quickly.", |
| | "Responsibly sharing media includes verifying before posting.", |
| | "Public awareness is the best defense against deepfake misuse.", |
| | "Learning this protects communities and democracy." |
| | ], |
| | "quiz": [ |
| | {"q": "Deepfake means?", "O": ["Real video","Fake video","News article","Game"], "A": "Fake video"}, |
| | {"q": "They use?", "O": ["AI","Coin toss","Weather","Manual"], "A": "AI"}, |
| | {"q": "Effect of deepfakes?", "O": ["Trust erosion","Fun only","Health boost","Wealth"], "A": "Trust erosion"}, |
| | {"q": "To prevent fake news you?", "O": ["Verify source","Trust all","Ignore everything","Respect rumors"], "A": "Verify source"}, |
| | {"q": "Detection tools use?", "O": ["AI","Magic","Guess","No method"], "A": "AI"} |
| | ] |
| | }, |
| | "Data Privacy Basics": { |
| | "intro": [ |
| | "Data privacy is about keeping personal information safe.", |
| | "Personal data includes names, photos, location, health records.", |
| | "Many apps collect data—it's important to know which you allow.", |
| | "Strong passwords and 2FA protect online accounts.", |
| | "Data sharing can expose you to scams and identity theft.", |
| | "Privacy settings in apps empower users to choose control.", |
| | "GDPR and similar laws protect user data rights.", |
| | "Awareness helps prevent misuse by bad actors.", |
| | "Encrypted communication like HTTPS secures your data.", |
| | "Smart data handling builds trust and safety online." |
| | ], |
| | "quiz": [ |
| | {"q": "Privacy protects?", "O": ["Personal info","Weather","Rivers","Animals"], "A": "Personal info"}, |
| | {"q": "2FA means?", "O": ["Double Factor Authentication","2 Forms Access","Two Fun Activities","None"], "A": "Double Factor Authentication"}, |
| | {"q": "Encrypted sites use?", "O": ["HTTPS","HTTP","FTP","POP3"], "A": "HTTPS"}, |
| | {"q": "Avoid sharing?", "O": ["Passwords","Jokes","Memes","Songs"], "A": "Passwords"}, |
| | {"q": "Privacy laws include?", "O": ["GDPR","HTML","NoSQL","CSS"], "A": "GDPR"} |
| | ] |
| | }, |
| | "Ethics in AI": { |
| | "intro": [ |
| | "AI ethics is about responsible, fair, and transparent AI usage.", |
| | "Biased data can lead to unfair decisions in AI systems.", |
| | "Ethical AI respects privacy and avoids discrimination.", |
| | "Transparency means understanding how AI reaches decisions.", |
| | "Regulations guide developers to use AI responsibly.", |
| | "We must balance innovation with societal well-being.", |
| | "Involving users in decisions builds trust in AI systems.", |
| | "Ethical design empowers all stakeholders equally.", |
| | "Learning AI ethics creates safer and fairer technologies.", |
| | "Your knowledge can ensure AI benefits everyone." |
| | ], |
| | "quiz": [ |
| | {"q": "AI ethics ensures?", "O": ["Fairness","Speed","Cost","None"], "A": "Fairness"}, |
| | {"q": "Biased AI can?", "O": ["Discriminate","Cook","Paint","Drive"], "A": "Discriminate"}, |
| | {"q": "Transparency means?", "O": ["Explain decisions","Hide code","Blur data","Remove users"], "A": "Explain decisions"}, |
| | {"q": "Ethical AI respects?", "O": ["Privacy","Speed","Noise","Weight"], "A": "Privacy"}, |
| | {"q": "Ethical design builds?", "O": ["Trust","Fear","Spam","Ads"], "A": "Trust"} |
| | ] |
| | }, |
| | "Computer Vision & CV": { |
| | "intro": [ |
| | "Computer Vision (CV) enables machines to interpret visual data.", |
| | "It uses cameras, sensors, and algorithms to process images.", |
| | "CV applications include facial recognition, object tracking, and medical imaging.", |
| | "It uses CNNs, image filters, and feature extraction techniques.", |
| | "CV helps quality inspection in factories and autonomous vehicles.", |
| | "It can read handwritten text and diagnose diseases from scans.", |
| | "Real-time video analysis helps surveillance and safety.", |
| | "CV combined with AI enables powerful automation solutions.", |
| | "Understanding CV opens doors to robotics and intelligent systems.", |
| | "Ethical CV requires consent and data protection in public spaces." |
| | ], |
| | "quiz": [ |
| | {"q": "CV stands for?", "O": ["Core Vision","Computer Vision","Camera View","Control Voice"], "A": "Computer Vision"}, |
| | {"q": "CV uses?", "O": ["Images","Audio","Text only","None"], "A": "Images"}, |
| | {"q": "CNN is used in?", "O": ["CV","Typing","Email","Games"], "A": "CV"}, |
| | {"q": "CV helps in factories by?", "O": ["Inspecting products","Cooking","Sleeping","Entertainment"], "A": "Inspecting products"}, |
| | {"q": "CV requires ?", "O": ["Privacy","Cameras","Coins","Walls"], "A": "Cameras"} |
| | ] |
| | }, |
| | "AI in Healthcare": { |
| | "intro": [ |
| | "AI improves healthcare by analyzing medical images for diagnosis.", |
| | "It can detect anomalies in X-rays, MRIs and CT scans.", |
| | "Predictive models help in identifying disease risks early.", |
| | "AI-driven robots assist in surgeries with precision.", |
| | "Chatbots help patients with common health queries.", |
| | "Drug discovery processes are accelerated by AI algorithms.", |
| | "Personalized care plans benefit from AI data analysis.", |
| | "Hospital administration uses AI for scheduling and predictions.", |
| | "Wearable AI devices monitor vitals and alert emergencies.", |
| | "Ethical use ensures patient privacy and unbiased care." |
| | ], |
| | "quiz": [ |
| | {"q": "AI in imaging helps detect?", "O": ["Diseases","Music","Movies","Weather"], "A": "Diseases"}, |
| | {"q": "Predictive AI finds?", "O": ["Risks early","New jokes","Songs","Photos"], "A": "Risks early"}, |
| | {"q": "Surgery robots are?", "O": ["AI-assisted","Manual only","Electric fans","Toys"], "A": "AI-assisted"}, |
| | {"q": "Chatbots in healthcare?", "O": ["Answer questions","Cook food","Dance","Sleep"], "A": "Answer questions"}, |
| | {"q": "Wearables monitor?", "O": ["Vitals","Sand","Stars","Cars"], "A": "Vitals"} |
| | ] |
| | } |
| | } |
| |
|
| | |
| | for topic in modules: |
| | st.session_state.analytics.setdefault(topic, 0) |
| | st.session_state.leaderboard.setdefault(topic, []) |
| |
|
| | |
| | |
| | |
| | def show_module(topic): |
| | explanation = "\n\n".join(modules[topic]["intro"]) |
| | audio_path = generate_audio_if_missing(topic, explanation) |
| |
|
| | st.audio(audio_path, format="audio/mp3") |
| | st.markdown(explanation) |
| | st.info("Answer the quiz:") |
| |
|
| | answers = [] |
| | for i, qd in enumerate(modules[topic]["quiz"]): |
| | a = st.radio(f"Q{i+1}: {qd['q']}", qd['O'], index=None, key=f"{topic}_{i}") |
| | answers.append(a) |
| |
|
| | name = st.text_input("Your full name (for certificate):", key=f"name_{topic}") |
| |
|
| | if st.button("Submit Quiz", key=f"btn_{topic}"): |
| | if "" in answers or not name.strip(): |
| | st.warning("Please answer all questions and enter your name.") |
| | return |
| |
|
| | score = sum(1 for ans, q in zip(answers, modules[topic]["quiz"]) if ans == q["A"]) |
| | st.success(f"You scored {score}/5") |
| | st.balloons() |
| |
|
| | st.session_state.analytics[topic] += 1 |
| | st.session_state.leaderboard[topic].append({"name": name, "score": score}) |
| | st.session_state.leaderboard[topic] = sorted( |
| | st.session_state.leaderboard[topic], key=lambda x: -x["score"] |
| | )[:5] |
| |
|
| | cert = create_certificate(name, topic, score) |
| | st.download_button("📄 Download Certificate", data=open(cert, "rb"), file_name=cert, mime="application/pdf") |
| |
|
| | share_text = f"I scored {score}/5 on '{topic}'! #AIForEveryone" |
| | st.markdown(f"[🔗 WhatsApp](https://wa.me/?text={share_text}) | [🐦 Twitter](https://twitter.com/intent/tweet?text={share_text})") |
| |
|
| | st.subheader("✅ Answer Key:") |
| | for i, qd in enumerate(modules[topic]["quiz"]): |
| | st.markdown(f"{i+1}. **{qd['q']}** — ✅ {qd['A']}") |
| |
|
| | |
| | |
| | |
| | if not st.session_state.started: |
| | st.title("🤖 AI For Everyone – Future Tech Leaders") |
| | st.markdown("### Learn AI, earn certificates, and grow your future with the power of digital literacy.") |
| | if st.button("🚀 Get Started Now"): |
| | st.session_state.started = True |
| | st.stop() |
| |
|
| | |
| | |
| | |
| | st.sidebar.title("📘 Topics") |
| | topic = st.selectbox("Choose your module:", list(modules.keys())) |
| |
|
| | st.sidebar.subheader("📊 Completions") |
| | for t, c in st.session_state.analytics.items(): |
| | st.sidebar.write(f"{t}: {c} completed") |
| |
|
| | st.sidebar.subheader("🏆 Leaderboard") |
| | for t, scores in st.session_state.leaderboard.items(): |
| | if scores: |
| | st.sidebar.write(f"**{t}**") |
| | for entry in scores: |
| | st.sidebar.write(f"{entry['name']}: {entry['score']}/5") |
| |
|
| | |
| | |
| | |
| | show_module(topic) |
| |
|
